Data Integration Engineer *** As required by our governmental client, this position requires being a US Citizen. *** ATA LLC is seeking a Data Integration Engineer to support healthcare data integration efforts within an Azure‑based data platform. This role is hands‑on and delivery‑focused, with a strong emphasis on Python‑driven data pipelines, Azure Synapse, and healthcare interoperability (FHIR/HL7). A core expectation of this role is the ability to design, test, and validate data pipelines in environments where upstream specifications may be incomplete or inconsistent. The ideal candidate brings strong technical judgment, repeatable testing strategies, and the ability to raise data quality standards across the team. Location: “Work from Anywhere” in the Continental United States with the ability to travel to the Greater Washington D.C. Metropolitan Area or to a client location from time to time. Our preference is for remote personnel in one of the following locations: Greater Metro Washington DC area and Huntsville, AL. Key Responsibilities - Design, build, and maintain data pipelines in Azure Synapse using Python. - Implement and operate a medallion data architecture (Bronze, Silver, Gold layers). - Ingest, transform, and publish data in CSV, Parquet, and XML formats. - Perform complex data mapping and transformation across healthcare data sources. - Work directly with HL7 and FHIR healthcare data standards. - Define and execute data pipeline testing strategies, including: - Validation of transformations and mappings - Data completeness, accuracy, and consistency checks - Repeatable, team‑adoptable testing approaches - Operate effectively in situations where test cases or specs are not clearly provided, helping establish defensible validation criteria. - Serve as a technical lead, setting patterns and best practices the broader team can follow. - Collaborate closely with engineering, QA, and stakeholders to improve data quality and delivery outcomes. Minimum Requirements: This is a Health IT opportunity and previous experience working in Health IT and with healthcare data and data standards is required. - Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience. - 2–5 years of experience in data integration or data engineering roles. - Hands-on experience with HL7, FHIR, X12, or similar healthcare data formats. - Proficiency with Git for version control and collaborative development. - Experience using Terraform to deploy or manage cloud infrastructure. - General knowledge of cloud environments (Azure, AWS, or GCP). - Working knowledge of Azure Synapse or similar cloud data platforms. - Experience working with Parquet file formats in data engineering workflows. - Strong SQL and/or Python skills for data manipulation and validation. General personal traits we know will connect well with the team: - A positive, willing attitude - Self-motivated ability to make and meet commitments. - An ability to think on your feet and solve problems quickly. - Can learn new subject areas on the fly. - Enjoys working in a cross-disciplinary team environment. - Technology agnostic with the ability to apply the right tool to the requirement. About ATA: A leading provider of full-stack data and AI solutions with deep mission experience supporting the Department of Defense, Department of Homeland Security, IC, and federal agencies. Founded in 2008 and headquartered in Virginia, ATA specializes in secure, scalable, and operationally ready technologies that transform data into actionable insight. With a proven track record in advanced analytics, software development, and technology integration, ATA is uniquely positioned to accelerate federal organizations in a number of ways by leveraging powerful contracting options and delivering cutting-edge, automation-enhanced, AI-assisted capabilities—tailored to need and mission assurance imperatives. We believe our diversity of infrastructure, data, and application experience is valuable and is one of the attributes that sets ATA apart. Summary of Benefits: We expect each member of our team to fully engage creatively and work collaboratively and perform each day to the best of their ability. To support this, we have created a benefit package focused on professional growth, achieving a healthy work-life balance, and participation in the long-term success of the company. Our benefits include: generous paid time-off; an employee incentive program; continuous learning culture, Internal Investment Projects (IIP), virtual brown-bags/level-ups, and other professional development activities; recruiting bonuses; 3% 401k Safe Harbor contributions; Medical/Dental/Vision, Long & Short-term Disability, AD&D insurance, and Life Insurance. #CherokeeFederal #LI-RG1 #LI-Remote

• Identifying, creating, preparing data required for modern Data solutions and Data for AI. • Designing ETLs and ELTs for data transformations. • Designing, building and management of Datalakes architectures. • Working with Apache Hadoop projects (Spark, Hive, Pig, Oozie, Airflow, etc). • Integrating and testing Data solutions. • Creating and documenting the tests to meet requirements. • Working with Bigdata Environments. • Managing Data Cloud services, data access, security and data governance. • Analyzing and prepare data for Machine Learning workloads. • Managing monitoring and logs of applications and services.

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: NACI (T1) Job Family: Software Engineering Job Qualifications: Skills: Agile Methodology, Apache Airflow, Data Warehousing (DW), ETL Design, Extract Transform Load (ETL)Certifications: NoneExperience: 3 + years of related experienceUS Citizenship Required: No Job Description: Seize your opportunity to make a personal impact as a Cloud ETL Engineer supporting Drug data Processing System (DDPS) Part D Processing for CMS. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. At GDIT, people are our differentiator. As a Cloud ETL Engineer you will help ensure today is safe and tomorrow is smarter. Our work depends on Cloud ETL Engineer joining our team to DDPS Part D processing for CMS, to support IRA legislation Mandated ETL development and testing for CMS Part D Medicare processing ETL programming. How a Cloud ETL Engineer will Make an Impact: - Builds and codes applications and/or models using various computer programming languages. - Designs, develops, deploys, and maintains advanced operating systems and operating system software - Installs enhancements and performs updates to software of existing systems, including middleware and application programs that run on the system - Performs troubleshooting of advanced problems and provides customer support for software systems and application issues - Debugs advanced problems with system software. Provides recommendations for continuous improvement - Performs maintenance tasks to keep systems running smoothly - Writes and updates test procedures and programs - May coach and provide guidance to less-experienced professionals - May serve as a team or task lead What You’ll Need to Succeed: Education: - BA/BS in a Computer Science or related technical discipline or the equivalent combination of education, technical certifications or training, or work experience. Required Experience: - 3+ years of direct related computer programming experience. - 3+ years of IT experience with at least 4 years of SQL development experience developing on multiple relational database platforms like Snowflake. - 2+ years of Cloud ETL development experience using AWS Services / tools, Databricks, Snowflake, and/or similar technologies. - 3+ years of physical data modeling, partitioning, and developing optimization/indexing strategies on the Teradata platform or similar DBMS. - 2+ years of experience with Snowflake and Snowflake ETL for loading data from AWS S3 - 2+ years of experience with UNIX scripting and utilities. - In depth knowledge on Data Warehouse (DW) concepts for ETL Development - 2+ year of experience in Code migration and deployment using AWS resources in the cloud environment. - 3+ years of experience in working with Python and Spark programming. - Candidate must be able to obtain and maintain a Public Trust clearance and must have lived in the United States at least three (3) out of the last five (5) years. Required Technical Skills: - AWS Development using S3, EC2 Lambda functions - Extract Transform Load (ETL) - Python (Programming Language) - Apache Spark programming - Knowledge on Snowflake Data Warehouse with ETL - Knowledge on Databricks and notebook, coding and execution - GitHub Code configuration and Management Required Skills and Abilities: - Attend daily stand-up scrum calls. - Collaborate in a "war-room" setting with business analysts, developers, testers, architect, scrum master, and product owner to assist in grooming, designing, coding, unit testing user stories related to the Program Increment and current iteration. - Exercise positive interpersonal communication skills and works independently and within an agile team during all phase of the software development lifecycle. - Design, develop and implement complex ETL processes of healthcare data to meet a wide range of business and system requirements. - Support the ETL operational processes including but not limited to: automation, job scheduling, dependencies, monitoring, maintenance, patches, upgrades, security, and administration. - Investigate and corrects software defects and analyzes and maintains data quality. - Mentor and provide guidance to junior team members. - Identify process improvements and innovative ways to solve existing or new problems. Preferred Skills: - Prior experience developing healthcare IT solutions strongly preferred. - 2+ years of experience in Github, or similar version control tools. - Prior experience using the Agile development framework, and CI/CD DevOps - Prior working experience with Medicare Part D Data with ETL development Location: Remote Clearance Level: Requires the ability to pass a CMS background check and meet the residency requirement for having resided in the US at least (3) three out of the last (5) five years in order to obtain a Public Trust. Sponsorship will not be provided for this position What GDIT Can Offer You: - Full-flex work week to own your priorities at work and at home, with core work hours Monday – Friday 9:00 AM ET – 3:00 PM ET - 401K with company match - Comprehensive health and wellness packages - Internal mobility team dedicated to helping you own your career - Professional growth opportunities including paid education and certifications - Cutting-edge technology you can learn from - Rest and recharge with paid vacation and holidays - Challenging work that makes a real impact on the world around you - Remote work #GDITFedHealthJobs The likely salary range for this position is $102,000 - $138,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: None Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events atgdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Role Description As a Lead Data Engineer (Consultant) at Kainos you will be responsible for designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Lead Data Engineers provide strong development leadership for team members and take responsibility for the quality of the codebase as well as the match to user needs. - Taking responsibility for the development of whole components or subsystems within a team. Development incorporates design, code, test and defect resolution. - Focusing on hands-on design and development, using open source and commercial platforms. - Defining and enforcing development best practice and coaching team members to ensure consistency. - Working with project architects, taking responsibility for non-functional needs of ETL/ELT data processing pipelines such as robustness and performance. - Taking responsibility for standards and execution of unit and integration testing done within the team. - Taking responsibility for software product due diligence and integration. - Leading troubleshooting and tuning of activities. - Working with Operations teams to ensure the application software is operationally ready. - Working with Security Architects and accreditors to ensure compliance with relevant legal and security requirements. - Advising customers and managers and other team members of the estimated effort and technical implications of user stories and user journeys. - Contributing to technical proposals as part of the sales process. - Managing, coaching and developing a small number of staff, with a focus on managing employee performance and assisting in their career development. Qualifications - Experience of leading a team of engineers in the implementation of data-intensive system components. - Experience of applying standards for design (patterns), development (style guides) and operational readiness (automation, deployment). - Proficient software development experience in one of Java, Scala, or Python. - Software development experience with data-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools. - Expert in SQL or SQL extensions for analytical use case. - Expert understanding of distributed data stores and data processing frameworks. - Ability to simply and clearly communicate technical design both written and verbally. - Proficient in designing analytical and operational data models. - A keen interest in AI technologies. Requirements - Comfortable with Data Warehouse methods and techniques. - Actively shares their thoughts and views on data practices. - AWS/Azure/GCP Certified in Data Services. - Expertise in continuous improvement and sharing input on data best practice. - Participation in development and/or technology communities. - Practical experience with AI technologies, tools, processes and delivery. Who you are Our vision is to enable outstanding people to create digital solutions that have a positive impact on people’s lives. Our values aren't abstract; they are the behaviours we expect from each other every day, and underpin everything that we do. We expect everyone to display our values by being: - Determined in how obstacles are overcome; - Honest when dealing with others; - Respectful of how you treat others; - Creative to find solutions to complex problems; - Cooperative by sharing information, knowledge and experience. Company Description Kainos is a high-growth IT services company providing digital technology solutions and agile software development to enterprise customers. Across our 30-year history, we have worked on transformational projects across government, NHS and a myriad of private sector clients. At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive.