1253 Data Professionals jobs in Atlanta

WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

• Builds software to extract, transform and load data - SSIS, Azure Data Factory, Synapse
• Models data for efficient consumption by reporting and analytics tools - Azure Analysis Services, Power BI, SQL Databases
• Maintains previously deployed software and reports - Power BI, SSIS, AAS, SQL Server
• Designs dashboards and reports to meet business needs
• Presents technical problems with solutions in mind, in a constructive and understood fashion
• Demonstrates expert proficiency by sharing learnings with team and in technical showcases
• Independently discovers solutions and collaborates on insights and best practices
• Takes ownership of team's work deliverables and actively participates in mentoring of team members
• Actively seeks out opportunities to help improve the team's practices and processes to achieve fast flow
• Works with other developers to facilitate knowledge transfer and conduct code reviews
• Consistently works across the organization to enable teams to support each other
• Ensures that credit is shared and given when due
• Works to build and improve strong relationships across the organization
• Leverages those relationships to better plan for and position the engineering organization
• Leads strategic organizational decisions and plans
• Consistently works at a strategic level, influencing decisions to achieve organizational alignment on major goals
• Facilitates organization-wide discussions, ensuring that everyone has an opportunity to share their opinion and be heard, and that discussion outcomes tie to stated goals
• Encourages quiet participants and ensures no one person dominates the conversation

• 3+ years of Data Engineering experience
• Bachelor's Degree in Information Systems, Computer Science, Business Operations, or equivalent work experience
• Advanced experience with Standard Query Language (SQL) and data modeling/architecture
• Advanced experience with Data Analysis Expressions (DAX)
• Advanced experience and understanding of data integration engines such as SQL Server Integration Services (SSIS) or Azure Data Factory or Synapse
• All offers are contingent upon the successful completion of a background check

• Advanced experience with data engineering in a cloud development - Microsoft Azure is preferred
• Advanced experience with self-service query tools and dashboards - preferably Power BI
• Advanced understanding of star schema design and managing large data volumes
• Familiarity with data science and machine learning capabilities
• Ability to interact with people, inside and outside the team, in order to see a project to completion
• Experience protecting individual privacy such as required by HIPAA

• Develop and maintain efficient ETL/ELT pipelines using tools such as Apache Airflow, DBT, or similar.
• Design and implement scalable data models and data warehousing solutions (e.g., star and snowflake schemas).
• Write complex SQL queries and optimize database performance across platforms like PostgreSQL, MySQL, SQL Server, and Snowflake.
• Work with large datasets to ensure high performance and reliability of data processing workflows.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
• Ensure data quality, integrity, and consistency across systems.
• Utilize version control systems (e.g., Git) for code management and collaboration.
• Write scripts and automation tools using Python or Scala to support data engineering tasks.

• Strong experience in SQL and relational database development (e.g., PostgreSQL, MySQL, SQL Server, Snowflake).
• Proficiency in building ETL/ELT pipelines using tools like Apache Airflow, DBT, or similar.
• Solid understanding of data warehousing concepts and data modeling techniques.
• Experience working with large datasets and optimizing data processing performance.
• Familiarity with scripting or programming languages such as Python or Scala.
• Experience with version control systems such as Git.
• Strong problem-solving skills and attention to detail.
• Bachelor’s degree in Computer Science, Information Systems, or a related field.

• Experience with cloud data platforms (e.g., AWS, Azure, GCP).
• Familiarity with data governance and data quality frameworks.
• Exposure to real-time data streaming tools and architectures.

Become a part of our caring community and help us put health first

MPA supports shared success by helping business partners maximize program effectiveness and accuracy, which leads to improved member care, health outcomes, provider relationships, and financial sustainability for Medicare Advantage beneficiaries.

We are seeking a technically skilled Data Engineer 2 to deliver integrated Medicare Advantage risk adjustment solutions that leverage data and technology to empower members, providers, and Humana. This role requires collaboration with high-performing teams including business stakeholders and engineers and building and maintaining data processing architectures and solutions for Prospective risk adjustment initiatives related to In-Home Wellness Assessments (IHWA) and Provider Programs. Because the needs of our business segment change frequently, assignments are varied and often require interpretation. This position requires developing a solid general knowledge of the business, including how operations work and primary points of contact.

Key responsibilities:

• Write and maintain modular code for automation, including SQL stored procedures and ETLs, in accordance with best practices

• Regular pair programming sessions and code reviews of medium scale work

• Thoroughly testing and clearly documenting code, and explaining details of the work

• Develop an understanding of the team’s underlying technology stack – primarily Python, SQL, and cloud native platforms

• Research bugs/breaks and makes necessary adjustments and/or recommendations to resolve software related issues

• Transform data into insights and actions that enable Humana to better serve our members

• Develop an understanding of department, segment, and organizational strategy and operating objectives, including their linkages to related areas

• Work with Business Intelligence and Software engineers to ensure code is optimized for performance and the right tools are being used for the right jobs.

• Eastern Time Zone business hours

Required Qualifications

• Bachelor’s degree or a minimum of 2 years technical experience in data engineering.

• Understand the concepts of normalized relational data structures.

• Ability to analyze data to address diverse business needs, and design solutions for data movement and orchestration aligned to strategic goals.

• Proficiency in SQL database design, optimization, and ETL support.

• Experience with modular and reusable code development.

• Strong understanding of star schema, snowflake schema, data architecture and design principles.

• Experience working in the multiple cloud ecosystem (ADLS/Databricks/ADF/ASA, Snowflake) or other cloud-based platforms.

• Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs.

• Demonstrated ability to articulate ideas effectively in both written and oral forms.

• Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Preferred Qualifications

• Experience with Medicare Advantage Risk Adjustment programs including IHWA and Provider Programs.

• Familiarity with Humana’s internal operations, policies, and systems.

• Understanding of Humana compliance and security standards (EIP, EA).

Use your skills to make an impact

Why Humana?

You'll experience the following perks as a full-time Humana employee:

Humana offers a variety of benefits to promote the best health and well-being of our employees and their families. We design competitive and flexible packages to give our employees a sense of financial security—both today and in the future, including:

• Health benefits effective day 1

• Paid time off, holidays, volunteer time and jury duty pay

• Recognition pay

• 401(k) retirement savings plan with employer match

• Tuition assistance

• Scholarships for eligible dependents

• Parental and caregiver leave

• Employee charity matching program

• Network Resource Groups (NRGs)

• Career development opportunities

Interview Format:

As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule.

Work-At-Home Requirements

To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.

Satellite, cellular and microwave connection can be used only if approved by leadership.

Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.

Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

#LI-Remote

Social Security Task

Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from with instructions on how to add the information into your official application on Humana’s secure website.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$89,000 - $121,400 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline:

About us

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Required Skills:

Data Engineer Responsibilities:

1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.

2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.

3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.

4. Define and manage SLA for all data sets in allocated areas of ownership.

5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.

6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.

7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.

8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

9. Influence product and cross-functional teams to identify data opportunities to drive impact.

10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

12. Telecommute from anywhere in the U.S. permitted.

Minimum Qualifications:

Minimum Qualifications:

1. Master’s degree (or foreign degree equivalent) in Computer Science, Engineering, Software Engineering, Mathematics, Physics, or related field and three years of work experience in job offered or in a computer-related occupation

2. Requires three years of experience in the following:

3. 1. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
4. 1. Writing SQL statements
5. 1. Analyzing large volumes of data to identify deliverables or to provide data driven insights, gaps, and inconsistencies
6. 1. Data warehousing architecture and plans, AND
7. 1. Informatica, Talend, Pentaho, dimensional data modeling, or schema design

Public Compensation:

$200,066/year to $208,069/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Job Description

This client has Data Engineer position will be in the EBDT Innovation and Technology Solutions (ITS) organization. As a Data Engineer, you will be responsible for the development, optimization, and management of data ingestion, transformation, and storage processes using modern frameworks. The successful candidate will implement infrastructure-as-code and automation solutions to streamline and build resiliency into data processing workflows. You will work closely with our data science and analytics teams to create and optimize data and machine learning models that support stakeholder needs.
The responsibilities of this position include, but are not limited to:
• Design, build, and maintain large-scale data systems, including data warehouses, data lakes, and data pipelines
• Develop and implement data architectures that meet the needs of our business stakeholders
• Collaborate with data scientists and analysts to develop and deploy machine learning models and data products
• Ensure data quality, security, and compliance with standards
• Develop and maintain technical documentation of data systems and architectures
• Troubleshoot and resolve data-related issues and optimize system performance
• Develop and implement automated testing and deployment scripts to ensure smooth and efficient delivery of data solutions
• Collaborate with cross-functional teams to identify and prioritize data requirements and develop solutions to meet business needs
This position is remote, as part of a geographically-dispersed team. However, preference will be given to candidates who are within 50 miles of a major Lockheed Martin facility.
This position requires US citizenship.

Basic Qualifications
• Bachelor's degree in Computer Science, Information Technology, or related field
• 6+ years of experience in data engineering, software development, or a related field
• Experience programming in languages such as Python and Terraform
• Experience with data architecture, data modelling, and data warehousing concepts
• Experience with data pipeline tools such as Apache Spark, Apache Kafka, AWS Kinesis
• Understanding of data security and compliance principles and practices
• Excellent problem-solving skills, with the ability to analyse complex data systems and identify areas for improvement
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Desired Skills
• Experience with Artificial Intelligence and Machine Learning technologies
• Experience with cloud-based data platforms such as AWS and Azure
• Experience with agile development methodologies and version control systems such as Git
• Experience with data visualization tools such as Tableau and Cognos Analytics
• Familiarity with complex data regulatory requirements such as NIST 800-171 and SOX
• Familiarity with OpenTelemetry standards
• Optimization for observability data and real time anomaly detections

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."

• Bachelor's degree in Computer Science, Information Systems, Mathematics or similar field or equivalent experience.
• At least six years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• Proven project experience developing and maintaining data warehouses in big data solutions (e.g. Snowflake)
  
  - Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI
  
  - Experience in data science languages/tools such as SQL, Python, R, SAS, or Excel
  
  - Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks)
  
  - Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata
  
  - Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products.
  
  - Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems.
  
  - Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.
  
  - Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options.
  
  - Ability to translate among the languages used by executive, business, IT, and quant stakeholders.

• Working with customers to design data extracts based on their reporting needs
• Collaborating with IT Dev Ops partners to ingest extracts into a data warehouse
• Creating scalable data pipelines for reporting teams from the data warehouse to our BI tool

• We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders
• We have 1 product owner on the team and work with several others directly
• We have a Scrum Master aligned as well

• Architect all phases of software engineering including requirements analysis, application design, code development and testing with a focus on business intelligence dataset development
• Design reusable components, frameworks, and libraries
• Contribute and make recommendations to the design and architecture to enable secure, scalable, and maintainable solutions
• Clearly articulate the implications of design/architectural decisions, issues and plans to technology leadership
• Work collaboratively with People Analytics on the development and production of standard datasets to drive actionable decision making and reporting stability
• Conduct design and code reviews to ensure code developed meets business needs, coding best practices guidelines, unit testing, security, and scalability and maintainability guidelines
• Work very closely with architecture groups and drive solutions
• Assist with updating infrastructure components
• Use engineering best practices following an Agile methodology to deliver high-quality emerging tech solutions
• Communicate with impact - influence and negotiate effectively with all internal and external stakeholders to achieve win-win solutions that advance organizational goals
• Grow and maintain knowledge of and leverage emerging technologies
• Develop and analyze highly complex system standards, thresholds, and recommendations to maximize system performance
• Analyze project requirements and develop detailed specifications for new data warehouse reporting requirements
• Research API calls and make necessary changes to meet the business, contractual, security, performance needs
• Assesses and interprets customer requests for feasibility, priority, and complexity
• Create and maintain internal process documentation
• Support projects and change initiatives aligned to key priorities of People Analytics and People Analytics customers
• Understands priorities and organizes prescribed and non-prescribed work to meet or exceed deadlines and expectations
• Proactively keeps data secure and decommissions legacy content in our environment
• Serve as a resource to others within the People Analytics community; mentors other data engineers; provides explanations and information to others on difficult issues, problems, and solutions
• Works with minimal guidance; seeks guidance on only the most complex tasks
• Coaches, provides feedback, and guides others within the People Analytics community

• 3+ years of data engineering experience
• 3+ years of full lifecycle application, software development experience
• 3+ years of modern programming language such as Python, Java, and Scal
• 2+ years of SDLC experience in an Agile environment
• Working knowledge of the following business and technology concepts: APIs, CI/CD, Big Data, data architecture and governance
• Experience with Cloud technologies and platforms such as Docker, OSE, Kubernetes, AWS, Snowflake, and Azure
• Experience with Jenkins, GitHub, Big Data technologies like Spark
• Experience using IDEs such as Eclipse, JBoss, IntelliJ
• Relational database experience
• Experience ingesting and working with large and complex datasets
• Experience gathering requirements from end users

• Bachelor's degree in Computer Science, Engineering, or Technology
• Experience with People Dat
• Experience with disaster and recovery models
• DevOps experience
• Experience creating user stories in an agile tool using gherkin format methodology

• Java
• Spring Batch
• AWS
• SQL
• Control-M or similar scheduling/orchestration tool

• Python
• Snowflake
• Jenkins
• Docker
• Unix

• Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of working experience
• 4+ years of Java development utilizing Spring frameworks. Experience writing batch jobs with Spring Batch is highly desirable
• 2+ years of experience developing applications that run in AWS, with focus on AWS Batch, S3, IAM
• 2+ years working with SQL (ANSI SQL, Oracle, Snowflake)
• 1+ years of Python development
• Experience with Unix shell scripting (bash, ksh) and scheduling / orchestration tools (Control-M)
• Strong data modeling skills with experience working with 3NF and Star Schema data models
• Proven data analysis skills; not afraid to work in a complex data ecosystem
• Hands-on experience on SQL query optimization and tuning to improve performance is desirable
• Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Terraform, CloudFormation)
• Experience in Agile methodologies (Kanban and SCRUM)
• Experience building and deploying containerized applications using Docker
• Work experience in the financial services industry is a plus
• Proven track record to handle ambiguity and work in a fast-paced environment, either independently or in a collaborative manner
• Good interpersonal skills to work with multiple teams within the business unit and across the organization