13,766 Midas jobs in the United States
X-Midas Software Engineer
85718 Tucson, Arizona
International Staff Consulting
Posted today
Job Viewed
Job Description
Join a dynamic and innovative team dedicated to advancing national security and defense through cutting-edge technology. We are looking for a proactive X-Midas Software Engineer to collaborate in a multi-disciplinary research and development environment. Your role will involve working alongside talented electrical engineers, mathematicians, and computer scientists to develop custom digital signal processing solutions and sophisticated communication systems.
Key Responsibilities:
- Design and implement software frameworks supporting advanced hardware- and software-based SIGINT systems.
- Develop reusable software toolkits and libraries, focusing on multi-threading and performance optimization.
- Contribute to the development of signal and image processing algorithms, hardware control, GUI design, and database systems.
- Ensure software products are well-structured, thoroughly documented, and rigorously tested.
- Engage directly with end users and customers to gather requirements and provide solutions.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Minimum of 5 years of experience in system development and deployment.
- Proficiency in C/C++ development within a Linux environment.
- Experience in designing and developing reusable frameworks.
- Strong mathematical and analytical skills.
- Proficient with the MIDAS framework, especially X-MIDAS, and Python.
- Experience working in a classified environment.
- Ability to obtain and maintain a security clearance (US citizenship required).
- Experience with geolocation or digital signal processing in classified applications.
- Familiarity with Java and Qt.
- Experience with the REDHAWK framework.
- Background in supporting SIGINT processing systems.
This position offers the opportunity to work on impactful projects with a small, agile team. If you are a self-motivated engineer with a passion for technology and national defense, we encourage you to apply.
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0
Data Engineer, MIDAS, Digital Acceleration
Tennessee, Tennessee
Amazon
Posted 8 days ago
Job Viewed
Job Description
Description
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?
The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In this role, you will play a critical part in developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.
Key job responsibilities
1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
About the team
The MIDAS team operates within Amazon's Digital Analytics (DA) engineering organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. Today, more than 100 Amazon business and technology teams rely on MIDAS, with over 20,000 monthly active users leveraging our mission-critical tools to drive data-driven decisions at Amazon scale.
Basic Qualifications
- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?
The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In this role, you will play a critical part in developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.
Key job responsibilities
1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
About the team
The MIDAS team operates within Amazon's Digital Analytics (DA) engineering organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. Today, more than 100 Amazon business and technology teams rely on MIDAS, with over 20,000 monthly active users leveraging our mission-critical tools to drive data-driven decisions at Amazon scale.
Basic Qualifications
- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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1
Data Engineer, MIDAS, Digital Acceleration
Tennessee, Tennessee
Amazon
Posted 8 days ago
Job Viewed
Job Description
Description
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?
The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In this role, you will play a critical part in developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.
Key job responsibilities
1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
About the team
The MIDAS team operates within Amazon's Digital Analytics (DA) engineering organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. Today, more than 100 Amazon business and technology teams rely on MIDAS, with over 20,000 monthly active users leveraging our mission-critical tools to drive data-driven decisions at Amazon scale.
Basic Qualifications
- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?
The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In this role, you will play a critical part in developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.
Key job responsibilities
1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
About the team
The MIDAS team operates within Amazon's Digital Analytics (DA) engineering organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. Today, more than 100 Amazon business and technology teams rely on MIDAS, with over 20,000 monthly active users leveraging our mission-critical tools to drive data-driven decisions at Amazon scale.
Basic Qualifications
- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
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2
Data Engineer, MIDAS, Digital Acceleration
Tennessee, Tennessee
Amazon
Posted 8 days ago
Job Viewed
Job Description
Description
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?
The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In this role, you will play a critical part in developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.
Key job responsibilities
1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
About the team
The MIDAS team operates within Amazon's Digital Analytics (DA) engineering organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. Today, more than 100 Amazon business and technology teams rely on MIDAS, with over 20,000 monthly active users leveraging our mission-critical tools to drive data-driven decisions at Amazon scale.
Basic Qualifications
- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?
The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In this role, you will play a critical part in developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.
Key job responsibilities
1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
About the team
The MIDAS team operates within Amazon's Digital Analytics (DA) engineering organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. Today, more than 100 Amazon business and technology teams rely on MIDAS, with over 20,000 monthly active users leveraging our mission-critical tools to drive data-driven decisions at Amazon scale.
Basic Qualifications
- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Preferred Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
View Now
3
Data Engineer, MIDAS, Digital Acceleration
Tennessee, Tennessee
Amazon
Posted 9 days ago
Job Viewed
Job Description
Description
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?
The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In this role, you will play a critical part in developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.
Key job responsibilities
1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
About the team
The MIDAS team operates within Amazon's Digital Analytics (DA) engineering organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. Today, more than 100 Amazon business and technology teams rely on MIDAS, with over 20,000 monthly active users leveraging our mission-critical tools to drive data-driven decisions at Amazon scale.
Basic Qualifications
- Bachelor's degree
- 3+ years of data engineering experience
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Preferred Qualifications
- 5+ years of data engineering experience
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Knowledge of Engineering and Operational Excellence using standard methodologies.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?
The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In this role, you will play a critical part in developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.
Key job responsibilities
1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
About the team
The MIDAS team operates within Amazon's Digital Analytics (DA) engineering organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. Today, more than 100 Amazon business and technology teams rely on MIDAS, with over 20,000 monthly active users leveraging our mission-critical tools to drive data-driven decisions at Amazon scale.
Basic Qualifications
- Bachelor's degree
- 3+ years of data engineering experience
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Preferred Qualifications
- 5+ years of data engineering experience
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Knowledge of Engineering and Operational Excellence using standard methodologies.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
View Now
4
Data Engineer, MIDAS, Digital Acceleration
Tennessee, Tennessee
Amazon
Posted 9 days ago
Job Viewed
Job Description
Description
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?
The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In this role, you will play a critical part in developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.
Key job responsibilities
1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
About the team
The MIDAS team operates within Amazon's Digital Analytics (DA) engineering organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. Today, more than 100 Amazon business and technology teams rely on MIDAS, with over 20,000 monthly active users leveraging our mission-critical tools to drive data-driven decisions at Amazon scale.
Basic Qualifications
- Bachelor's degree
- 3+ years of data engineering experience
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Preferred Qualifications
- 5+ years of data engineering experience
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Knowledge of Engineering and Operational Excellence using standard methodologies.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Are you excited about the digital media revolution and passionate about designing and delivering advanced analytics that directly influence the product decisions of Amazon's digital businesses. Do you see yourself as a champion of innovating on behalf of the customer by turning data insights into action?
The Amazon Digital Acceleration (DA) org is looking for an analytical and technically skilled data engineer to join our team. In this role, you will play a critical part in developing foundational analytical datasets spanning orders, subscriptions, discovery, promotions, pricing and royalties. Our mission is to enable digital clients to easily innovate with data on behalf of customers and make product and customer decisions faster.
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. This individual should have strong business judgement, excellent written and verbal communication skills.
Key job responsibilities
1. Develop data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal BDT tools (Datanet, Cradle, QuickSight etc.
2. Improve existing solutions/build solutions to improve scale, quality, IMR efficiency, data availability, consistency & compliance.
3. Partner with Software Developers, Business Intelligence Engineers, MLEs, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
4. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations
About the team
The MIDAS team operates within Amazon's Digital Analytics (DA) engineering organization, building analytics and data engineering solutions that support cross-digital teams. Our platform delivers a wide range of capabilities, including metadata discovery, data lineage, customer segmentation, compliance automation, AI-driven data access through generative AI and LLMs, and advanced data quality monitoring. Today, more than 100 Amazon business and technology teams rely on MIDAS, with over 20,000 monthly active users leveraging our mission-critical tools to drive data-driven decisions at Amazon scale.
Basic Qualifications
- Bachelor's degree
- 3+ years of data engineering experience
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Preferred Qualifications
- 5+ years of data engineering experience
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Knowledge of Engineering and Operational Excellence using standard methodologies.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
View Now
5
X-Midas Software Engineer, SIGINT Systems
85718 Tucson, Arizona
International Staff Consulting
Posted 7 days ago
Job Viewed
Job Description
Join a dynamic and innovative R&D team dedicated to developing cutting-edge digital signal processing and communications systems that support national security and defense initiatives. As a key member of this collaborative team, you will engage with electrical engineers, mathematicians, and computer scientists to create advanced software frameworks for SIGINT systems.
Key Responsibilities:
- Design and develop software frameworks supporting hardware and software-based SIGINT systems.
- Utilize your expertise in multi-threading and performance optimization to enhance system efficiency.
- Support the development of core signal and image processing algorithms, hardware control, GUI design, and database systems.
- Ensure all products are well-structured, thoroughly documented, and rigorously tested.
- Interact directly with end-users and customers to gather requirements and provide technical support.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in system development and deployment.
- Proven expertise in C/C++ development within Linux environments.
- Experience in designing and developing reusable software frameworks.
- Strong mathematical and analytical skills.
- Proficiency with the MIDAS framework, especially X-MIDAS, and Python.
- Experience in classified environments and ability to obtain/maintain a security clearance (US citizenship required).
- Experience with geolocation and digital signal processing in classified applications.
- Familiarity with Java and Qt programming.
- Experience with the REDHAWK framework.
- Background in supporting SIGINT processing systems.
Located in Tucson, this role provides an opportunity to work on projects that have a significant impact, all while collaborating with a motivated and innovative team. This position does not offer remote work options, ensuring a cohesive and integrated team environment.
Benefits: Comprehensive benefits package available.
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6
Database Management
Remote
$35 - $45 per hour
Bethany CDC
Posted 5 days ago
Job Viewed
Job Description
We are seeking a highly skilled and detail-oriented Remote Database Administrator (DBA) to manage and maintain our corporate database systems. The ideal candidate will be responsible for ensuring the performance, integrity, and security of our databases across a distributed and global infrastructure, while also participating in the planning and development of the database strategy.
Key Responsibilities
- Administer, monitor, and maintain production and development databases (Oracle, SQL Server, PostgreSQL, MySQL, etc.)
- Ensure high levels of performance, availability, and security in our database environments.
- Design and implement backup, recovery, archiving, and replication strategies.
- Perform database tuning and optimization.
- Implement and enforce database policies, procedures, and standards.
- Manage database access and permissions.
- Collaborate with development, infrastructure, and cybersecurity teams to ensure seamless system integration.
- Conduct audits and assessments for database security and compliance.
- Support project teams in database-related activities during design, testing, deployment, and maintenance phases.
- Troubleshoot database-related issues and provide 24/7 on-call support as needed.
- Maintain up-to-date documentation of database configurations and procedures.
Qualifications
Required:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Minimum 5 years of experience in database administration or a related role.
- Strong hands-on experience with enterprise databases: Oracle, SQL Server, PostgreSQL, and/or MySQL.
- Familiarity with cloud-based database solutions (e.g., AWS RDS, Azure SQL, Google Cloud SQL).
- Proficient in performance tuning, scripting (PL/SQL, T-SQL, Bash), and automation tools.
- Solid understanding of data security, backup/recovery techniques, and disaster recovery planning.
- Fluent in English (written and spoken).
Preferred:
- Experience in large-scale industrial, engineering, or construction environments.
- Certifications such as Oracle Certified Professional (OCP), Microsoft Certified: Azure Database Administrator Associate, or equivalent.
- Working knowledge of DevOps practices and CI/CD pipeline integration.
What We Offer
- Competitive salary and performance-based incentives.
- Flexible working hours and fully remote setup.
- Opportunities to work on global infrastructure and energy projects.
- Career development and training programs.
- Inclusive and collaborative corporate culture.
Company Details
Bethany CDC is a ministry of Bethany United Methodist Church offering a half day preschool serving children ages 2 (by September 1st) through kindergarten. We are committed to helping young children grow and develop socially, emotionally, intellectually, physically and spiritually in a developmentally appropriate environment. Our goal is to provide a safe, positive, and nurturing Christian environment where children can experience success and develop a love of learning.
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7
Database Management
Remote
$35 - $45 per hour
Bethany CDC
Posted 5 days ago
Job Viewed
Job Description
We are seeking a highly skilled and detail-oriented Remote Database Administrator (DBA) to manage and maintain our corporate database systems. The ideal candidate will be responsible for ensuring the performance, integrity, and security of our databases across a distributed and global infrastructure, while also participating in the planning and development of the database strategy.
Key Responsibilities
- Administer, monitor, and maintain production and development databases (Oracle, SQL Server, PostgreSQL, MySQL, etc.)
- Ensure high levels of performance, availability, and security in our database environments.
- Design and implement backup, recovery, archiving, and replication strategies.
- Perform database tuning and optimization.
- Implement and enforce database policies, procedures, and standards.
- Manage database access and permissions.
- Collaborate with development, infrastructure, and cybersecurity teams to ensure seamless system integration.
- Conduct audits and assessments for database security and compliance.
- Support project teams in database-related activities during design, testing, deployment, and maintenance phases.
- Troubleshoot database-related issues and provide 24/7 on-call support as needed.
- Maintain up-to-date documentation of database configurations and procedures.
Qualifications
Required:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Minimum 5 years of experience in database administration or a related role.
- Strong hands-on experience with enterprise databases: Oracle, SQL Server, PostgreSQL, and/or MySQL.
- Familiarity with cloud-based database solutions (e.g., AWS RDS, Azure SQL, Google Cloud SQL).
- Proficient in performance tuning, scripting (PL/SQL, T-SQL, Bash), and automation tools.
- Solid understanding of data security, backup/recovery techniques, and disaster recovery planning.
- Fluent in English (written and spoken).
Preferred:
- Experience in large-scale industrial, engineering, or construction environments.
- Certifications such as Oracle Certified Professional (OCP), Microsoft Certified: Azure Database Administrator Associate, or equivalent.
- Working knowledge of DevOps practices and CI/CD pipeline integration.
What We Offer
- Competitive salary and performance-based incentives.
- Flexible working hours and fully remote setup.
- Opportunities to work on global infrastructure and energy projects.
- Career development and training programs.
- Inclusive and collaborative corporate culture.
Company Details
Bethany CDC is a ministry of Bethany United Methodist Church offering a half day preschool serving children ages 2 (by September 1st) through kindergarten. We are committed to helping young children grow and develop socially, emotionally, intellectually, physically and spiritually in a developmentally appropriate environment. Our goal is to provide a safe, positive, and nurturing Christian environment where children can experience success and develop a love of learning.
Apply Now
8
Database Management
Remote
$25 - $30 per hour
trustmarque
Posted 8 days ago
Job Viewed
Job Description
Typical Duties:
- Set up and manage databases
- Monitor database performance and fix problems
- Back up data regularly and restore it when needed
- Keep data safe and control who can access it
- Help users with database questions or errors
- Make updates or changes to database systems
- Work with developers to improve data systems
- Attention to Detail – Work carefully with large amounts of data
- Problem Solving – Fix database errors or performance issues
- Technical Knowledge – Know how databases work and how to manage them
- Database Languages – Use tools like SQL to manage and query data
- Security Awareness – Understand how to keep data safe
- Communication – Explain technical issues clearly to non-technical staff
- Organization – Keep data structured and easy to find
- Analytical Thinking – Understand data patterns and needs
- Good Salary – Competitive pay due to technical skills required
- Health Insurance – Medical, dental, and vision coverage (depending on employer)
- Paid Time Off – Vacation days, holidays, and sick leave
- Retirement Plans – 401(k) or pension options
- Remote Work Options – Many database jobs can be done from home
- Career Growth – Opportunities to move into data science, IT management, or systems architecture
- Training and Certifications – Support for learning new tools and earning certifications
- Job Stability – High demand in many industries such as finance, healthcare, retail, and tech
Company Details
Technology changes everything. That’s why for over three decades, Trustmarque has been a trusted partner to customers and technology vendors. Our trusted advice and technical know-how, helps our customers to acquire and adopt innovative technology to deliver real-life impact. We are part of the Trustmarque Group, including Livingstone Technologies.Our diversity makes us richer and stronger. We create a safe space where you can be yourself. We welcome and respect unique perspectives and contributions.
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