8,097 Big Data jobs in the United States

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

The Senior Big Data Analytics Professional will be responsible for creating actionable insights through data analytics while collaborating with cross-functional teams to position these tools effectively for clients and prospects. The role will require working with diverse real estate datasets, including both proprietary and external data sources, and cloud platforms such as Databricks and Snowflake to support the development of analytics and insights for cloud marketplaces.

This role is ideal for someone eager to develop analytics skills in a demanding, fast-paced environment. You'll be part of building out innovative data products, use cases, and "recipes" to help clients make better decisions. While the role is challenging, it offers significant learning opportunities and exposure to advanced analytics, product management, and the real estate data ecosystem.

Job Responsibilities:

• Collaborate with sales, solution engineering, and product teams to define, refine, and prioritize analytics use cases and insights.
• Build dashboards, visualizations, and reports that address customer needs and demonstrate the value of insights and data products.
• Work with both proprietary and external real estate datasets to deliver impactful insights.
• Partner with data and industry SMEs to validate and refine deliverables.
• Learn and apply cloud platforms like Databricks and Snowflake to develop analytics and insights on cloud marketplaces.
• Create "recipes" (reusable analytics use cases) that combine data products and insights for internal and external stakeholders.
• Drive internal discussions with cross-functional teams to position dashboards, insights, and use cases effectively.
• Contribute to building a library of insights and examples for client and prospect engagement.

• Real-World Impact : Work on high-impact projects that shape the way real estate data is used and understood.
• Challenging Yet Rewarding : Gain valuable experience while taking on challenging tasks in a collaborative environment.
• Cross-Functional Collaboration : Partner with experts across sales, engineering, and product teams to drive success.
• Growth Opportunities : Develop technical and product management skills while gaining exposure to cloud platforms and real estate data ecosystems.

• Bachelor's Degree or equivalent experience.
• 5 years of relevant experience and strong proficiency in SQL, Python and data visualization tools (e.g., Tableau, Power BI, or Superset).
• Strong analytical and problem-solving skills.
• A collaborative mindset with excellent communication and organizational skills.
• Proficient in leveraging Big Data technologies and frameworks to identify patterns, trends, and opportunities across complex data environments.
• Enthusiasm for working with real estate datasets and analytics tools.
• Ability to learn quickly, adapt to new challenges, and handle multiple projects in a fast-paced environment.

• Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
• Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
• Health: Multiple medical plan options with mental health and wellness support offerings.
• Retirement: 401(k) with company match and vesting after one year.
• Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
• Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!
• Click here to see a comprehensive list of our benefit offerings.

• Big Data Engineer with MapReduce , spark , hive , sql skillset "Expert in SQL and Data warehousing concepts. Hands -on experience with public cloud data warehouse (GCP, Azure, AWS). GCP certification will be very good to have. MapR experience is must
• Strong Hands on experience with one or more programming languages ( Python or Java).
• Hands-on expertise with application design and software development in Big Data (Spark(Pyspark), HIVE). Experience with CICD pipelines, Automated test frameworks, DevOps and source code management tools (XLR, Jenkins, Git, Maven).
• Strong communication and analytical skills including effective presentation skills.
• Familiarity with Agile & scrum ceremonies. "
• Digital : BigData and Hadoop Ecosystem - MapR
• 6-8 Years of experience

Responsibilities:

Vanguard's Trading Analytics and Strategy (TAS) team collaborates with global trading desks to optimize trading strategies, saving millions of dollars for clients annually. The team partners with traders and portfolio managers across various asset classes and mandates, both passive and active, to conduct data-driven analyses and develop tools that shape trading strategies. As a Full Stack Engineer, you will design, implement, and maintain a modern, robust, and scalable platform to meet the increasing demands of the trading desks.

Qualifications:

Programming Skills: Proficiency in Python programming.
Database Expertise: Strong expertise in SQL, Presto, HIVE, and Spark.
Domain Knowledge: Knowledge of trading and investment data.
Big Data Technologies: Experience with Spark and developing distributed computing applications using PySpark.
Data Manipulation: Proficiency with libraries such as Pandas, Polars, and NumPy.
Data Engineering: Understanding of data pipelines, ETL processes, and data warehousing concepts.
API Development: Experience in building APIs.
Testing: Write, maintain, and execute automated unit tests using Python. Follow Test-Driven Development (TDD) practices.
AWS Services: Extensive experience with key AWS services/components including EMR, Lambda, Glue ETL, Step Functions, S3, ECS, Kinesis, IAM, RDS PostgreSQL, DynamoDB, Timeseries database, CloudWatch Events/Event Bridge, Athena, SNS, SQS, and VPC.
Serverless Architectures: Proficiency in developing serverless architectures using AWS services.
Database Skills: Experience with both relational and NoSQL databases.
Data Modeling: Skills in designing and implementing data models, including normalization, denormalization, and schema design.
Data Warehousing: Knowledge of data warehousing solutions like Amazon Redshift.
Analytical Skills: Strong analytical skills with the ability to troubleshoot data issues.
Development Practices: Good understanding of source control, unit testing, test-driven development, and CI/CD.
Code Quality: Ability to write clean, maintainable code and comprehend code written by others.
Communication: Strong communication skills.
Data Visualization: Proficiency in data visualization tools and ability to create visual representations of data, particularly using Tableau.

A client of Innova Solutions is looking for a
Big Data/ Java developer

Title: Big Data developer
Position type: Fulltime Contract (w2)
Duration: 12 Months
Location: Charlotte, NC/ Irving, TX/ Phoenix, AZ

As a Big Data Engineer, you would:

• Design and implement large-scale data processing systems using Apache Spark.
• Develop robust, scalable, and high-performance data pipelines
• Integrate and manage data from various sources including MongoDB
• Optimize data workflows for performance, scalability, and reliability.
• Ensure data quality, governance, and security best practices are followed.
• Monitor and troubleshoot production data pipelines and systems.

• Experience in Big data engineering
• Proficiency in Apache Spark (batch and/or streaming).
• Strong programming skills in Java
• Experience with MongoDB

What you can expect

• You will build, optimize, and maintain data pipelines using modern big data technologies like Apache Spark and Kafka to handle high-volume data and support AI.

About the Team

• The team is a close-knit group of seven highly experienced, senior engineers. This team powers all of Zoom's AI features and enables data-driven decision-making across the organization. You will work with seasoned engineers and analysts to deliver data solutions, leveraging modern big data, distributed processing, and cloud technologies.

Responsibilities

• Designing, developing, and maintaining ETL processes and data pipelines for structured and unstructured data. Also optimizing data warehouses and analytical data models.

• Writing and tuning complex SQL queries to support analytics, reporting, and application needs.

• Collaborating with stakeholders to translate business thinking into data transformations and workflows.

• Implementing distributed data processing solutions using Apache Spark and Apache Flink with Scala or Python.

• Building streaming and messaging solutions using Apache Kafka.

• Working with and optimize solutions in the big data ecosystem (e.g., Hive, Presto, HDFS, Parquet, ORC).

• Deploying and manage workloads using Kubernetes (K8s) in cloud or hybrid environments.

• Developing scripts in Linux/Unix shell for automation and data processing tasks.

What we're looking for

• Demonstrate Bachelor's in Computer Science, Data Engineering, or a related field, OR 1-3 years of relevant professional experience.

• Apply your expertise in ETL design, development, and data warehousing concepts.

• Demonstrate your expertise in SQL by writing and optimizing complex queries.

• Apply your deep expertise in Python programming, with a focus on object-oriented principles.

• Leverage your experience with distributed data processing frameworks like Apache Spark and Apache Flink.

• Showcase your experience with AWS or other major cloud platforms.

• Exhibit proficiency in Linux/Unix shell scripting.

• Utilize your solid understanding of the big data ecosystem, including tools like Hive, Presto, Hadoop, HDFS, Parquet, and ORC.

Salary Range or On Target Earnings:

Minimum:

$73,300.00

Maximum:

$169,500.00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Anticipated Position Close Date:

09/12/25

Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn ( for more information.

About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment?

At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form ( and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

#LI-Remote

What you can expect

• You will build, optimize, and maintain data pipelines using modern big data technologies like Apache Spark and Kafka to handle high-volume data and support AI.

About the Team

• The team is a close-knit group of seven highly experienced, senior engineers. This team powers all of Zoom's AI features and enables data-driven decision-making across the organization. You will work with seasoned engineers and analysts to deliver data solutions, leveraging modern big data, distributed processing, and cloud technologies.

Responsibilities

• Designing, developing, and maintaining ETL processes and data pipelines for structured and unstructured data. Also optimizing data warehouses and analytical data models.

• Writing and tuning complex SQL queries to support analytics, reporting, and application needs.

• Collaborating with stakeholders to translate business thinking into data transformations and workflows.

• Implementing distributed data processing solutions using Apache Spark and Apache Flink with Scala or Python.

• Building streaming and messaging solutions using Apache Kafka.

• Working with and optimize solutions in the big data ecosystem (e.g., Hive, Presto, HDFS, Parquet, ORC).

• Deploying and manage workloads using Kubernetes (K8s) in cloud or hybrid environments.

• Developing scripts in Linux/Unix shell for automation and data processing tasks.

What we're looking for

• Demonstrate Bachelor's in Computer Science, Data Engineering, or a related field, OR 1-3 years of relevant professional experience.

• Apply your expertise in ETL design, development, and data warehousing concepts.

• Demonstrate your expertise in SQL by writing and optimizing complex queries.

• Apply your deep expertise in Python programming, with a focus on object-oriented principles.

• Leverage your experience with distributed data processing frameworks like Apache Spark and Apache Flink.

• Showcase your experience with AWS or other major cloud platforms.

• Exhibit proficiency in Linux/Unix shell scripting.

• Utilize your solid understanding of the big data ecosystem, including tools like Hive, Presto, Hadoop, HDFS, Parquet, and ORC.

Salary Range or On Target Earnings:

Minimum:

$73,300.00

Maximum:

$169,500.00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Anticipated Position Close Date:

09/12/25

Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn ( for more information.

About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment?

At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form ( and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

#LI-Remote

What you can expect

• You will build, optimize, and maintain data pipelines using modern big data technologies like Apache Spark and Kafka to handle high-volume data and support AI.

About the Team

• The team is a close-knit group of seven highly experienced, senior engineers. This team powers all of Zoom's AI features and enables data-driven decision-making across the organization. You will work with seasoned engineers and analysts to deliver data solutions, leveraging modern big data, distributed processing, and cloud technologies.

Responsibilities

• Designing, developing, and maintaining ETL processes and data pipelines for structured and unstructured data. Also optimizing data warehouses and analytical data models.

• Writing and tuning complex SQL queries to support analytics, reporting, and application needs.

• Collaborating with stakeholders to translate business thinking into data transformations and workflows.

• Implementing distributed data processing solutions using Apache Spark and Apache Flink with Scala or Python.

• Building streaming and messaging solutions using Apache Kafka.

• Working with and optimize solutions in the big data ecosystem (e.g., Hive, Presto, HDFS, Parquet, ORC).

• Deploying and manage workloads using Kubernetes (K8s) in cloud or hybrid environments.

• Developing scripts in Linux/Unix shell for automation and data processing tasks.

What we're looking for

• Demonstrate Bachelor's in Computer Science, Data Engineering, or a related field, OR 1-3 years of relevant professional experience.

• Apply your expertise in ETL design, development, and data warehousing concepts.

• Demonstrate your expertise in SQL by writing and optimizing complex queries.

• Apply your deep expertise in Python programming, with a focus on object-oriented principles.

• Leverage your experience with distributed data processing frameworks like Apache Spark and Apache Flink.

• Showcase your experience with AWS or other major cloud platforms.

• Exhibit proficiency in Linux/Unix shell scripting.

• Utilize your solid understanding of the big data ecosystem, including tools like Hive, Presto, Hadoop, HDFS, Parquet, and ORC.

Salary Range or On Target Earnings:

Minimum:

$73,300.00

Maximum:

$169,500.00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Anticipated Position Close Date:

09/12/25

Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn ( for more information.

About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment?

At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form ( and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

#LI-Remote

What you can expect

• You will build, optimize, and maintain data pipelines using modern big data technologies like Apache Spark and Kafka to handle high-volume data and support AI.

About the Team

• The team is a close-knit group of seven highly experienced, senior engineers. This team powers all of Zoom's AI features and enables data-driven decision-making across the organization. You will work with seasoned engineers and analysts to deliver data solutions, leveraging modern big data, distributed processing, and cloud technologies.

Responsibilities

• Designing, developing, and maintaining ETL processes and data pipelines for structured and unstructured data. Also optimizing data warehouses and analytical data models.

• Writing and tuning complex SQL queries to support analytics, reporting, and application needs.

• Collaborating with stakeholders to translate business thinking into data transformations and workflows.

• Implementing distributed data processing solutions using Apache Spark and Apache Flink with Scala or Python.

• Building streaming and messaging solutions using Apache Kafka.

• Working with and optimize solutions in the big data ecosystem (e.g., Hive, Presto, HDFS, Parquet, ORC).

• Deploying and manage workloads using Kubernetes (K8s) in cloud or hybrid environments.

• Developing scripts in Linux/Unix shell for automation and data processing tasks.

What we're looking for

• Demonstrate Bachelor's in Computer Science, Data Engineering, or a related field, OR 1-3 years of relevant professional experience.

• Apply your expertise in ETL design, development, and data warehousing concepts.

• Demonstrate your expertise in SQL by writing and optimizing complex queries.

• Apply your deep expertise in Python programming, with a focus on object-oriented principles.

• Leverage your experience with distributed data processing frameworks like Apache Spark and Apache Flink.

• Showcase your experience with AWS or other major cloud platforms.

• Exhibit proficiency in Linux/Unix shell scripting.

• Utilize your solid understanding of the big data ecosystem, including tools like Hive, Presto, Hadoop, HDFS, Parquet, and ORC.

Salary Range or On Target Earnings:

Minimum:

$73,300.00

Maximum:

$169,500.00

In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.

Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience.

We also have a location based compensation structure; there may be a different range for candidates in this and other locations

At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!

Anticipated Position Close Date:

09/12/25

Ways of WorkingOur structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.

BenefitsAs part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn ( for more information.

About UsZoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.We're problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment?

At Zoom, we believe great work happens when people feel supported and empowered. We're committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know-we're here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form ( and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

#LI-Remote