Data Engineer III (AWS)

Location: Fully remote within the United States; public trust clearance is required, and candidates must be U.S. citizens or meet Foreign National Government System requirements. Eastern Time availability is required from 9:00 AM to 5:00 PM; occasional travel for training and project meetings is under 5% per year.

Salary: $113,200–$130,000 per year

Company

hirify.global is a digital services company partnering with U.S. government agencies to create products and services that improve public-sector outcomes.

What you will do

• Develop, expand, and optimize data and pipeline architecture, data flows, and collection systems.
• Build and maintain ETL pipelines and prototypes using AWS, Redshift Spectrum, Databricks, EMR, and SageMaker.
• Engineer large datasets, including augmentation, profiling, quality analysis, anomaly and trend analysis, algorithms, and data maturity recommendations.
• Operate large-scale processing pipelines, resolve data-quality and technical issues, and build analytical tools for business performance metrics.
• Design scalable data infrastructure, automate manual processes, and build extraction, transformation, and loading infrastructure from varied sources.
• Collaborate with developers, architects, analysts, data scientists, DevOps engineers, product, design, and government stakeholders; write tests, review code, and translate specifications into code and design documents.

Requirements

• Pass U.S. Federal Government public trust clearance. Candidates must be U.S. citizens or qualify through the Foreign National Government System, including having lived in the United States for at least 3 of the previous 5 years, a valid passport from the country of birth, and appropriate visa or work permit documentation.
• At least 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies to build and maintain data pipelines.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline; alternatively, 10 years of general IT experience including at least 8 years of specialized experience.
• Experience designing data architecture for shared services, scalability, and performance, plus data services involving APIs, metadata, and data catalogues.
• Experience with data governance for batch and streaming ingestion, curation, and sharing with upstream and downstream users.
• Strong analytical skills with unstructured datasets.
• Experience with Spark, Hadoop, MySQL, PostgreSQL, Apache Airflow, AWS Step Functions, Redshift, RDS, EMR, EC2, Spark Streaming, Storm, Scala, Java, and Python.
• Ability to work in a fast-paced, team-oriented environment; experience with Agile methodology and test-driven development.
• Experience with GitHub and Atlassian Jira/Confluence.
• Excellent written and spoken English.

Nice to have

• Federal Government contracting experience.
• Databricks, Google Professional Data Engineer, IBM Certified Data Engineer – Big Data, or Cloudera CCP Data Engineer certification.
• Centers for Medicare and Medicaid Services or healthcare industry experience.
• Experience with Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data.

Culture & Benefits

• Fully remote work environment aligned with Eastern Time client-support hours.
• Medical, dental, and vision coverage; 401(k) retirement benefits; paid time off and paid holidays.
• Life and disability insurance plus wellness and employee support programs.
• Occasional travel for training and project meetings is expected at under 5% per year.