Data Engineer (GovCon | Public Trust Eligibility)

This position supports a federal client and requires US citizenship for Public Trust eligibility Attain Talent is searching for talented data engineers for our GovCon client. This is a full time position with benefits, and our client partners with federal agencies to build secure, scalable, and mission-driven solutions that make a meaningful impact on millions of people. Recognized by The Washington Post as a Top Workplace in 2025 and 2026.  About the Role We are seeking a  Data Engineer  to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to our clients.  You Will Get To Design, build, and maintain scalable  data pipelines, ETL/ELT workflows, and data models  using  Python, Apache Spark (PySpark), Databricks, dbt, SQL (PostgreSQL), and AWS Glue . Develop and optimize  AWS-native  data platforms leveraging  AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch . Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data using  Apache Iceberg, Parquet, ORC, and Avro . Design and optimize analytical data platforms using  Amazon Athena, Trino, Hive, OpenSearch, and enterprise data catalog technologies . Integrate enterprise and external data sources across relational and NoSQL platforms including  PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL databases . Build  AI-enabled  data solutions using  Amazon Bedrock ,  RAG pipelines , and  vector search  technologies including  Amazon S3 Vector  and  OpenSearch vector indexes . Develop cloud infrastructure using  CloudFormation (Infrastructure as Code) ,  GitHub ,  Harness , and enterprise  CI/CD  pipelines while leveraging  SNS ,  SQS , and  EventBridge  for event-driven architectures. Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, automation, and continuous optimization. Support mission-critical analytics and reporting solutions within large-scale  AWS-based federal data environments , implementing solutions that comply with  FedRAMP  and  NIST 800-53  security controls. Lead modernization initiatives migrating legacy platforms including  IBM DataStage ,  Hadoop ,  RunDeck , and shell-based workflows to cloud-native AWS services. Mentor junior engineers through technical guidance, architecture discussions, and code reviews while promoting engineering best practices. Collaborate with cross-functional teams in an  Agile  environment to define requirements, deliver high-quality data solutions, and communicate technical concepts effectively to technical and non-technical stakeholders. Who You Are A strategic data engineer who enjoys designing complex systems and solving complex challenges Strong in modern cloud-based solution design Comfortable balancing business needs with technical constraints and long-term strategy A strong communicator  Collaborative, proactive, and comfortable navigating ambiguity Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical field 4+ years of professional experience in data engineering or related domains Strong hands-on experience with: Databricks ,  Apache Spark (PySpark) ,  Python ,  SQL (PostgreSQL) , and  dbt  for large-scale data engineering, ETL/ELT development, data transformation, and data modeling. Designing, building, and maintaining  AWS-native  data platforms using  AWS Glue ,  Amazon EMR ,  Amazon MWAA (Apache Airflow) ,  AWS Lambda ,  AWS Step Functions ,  Amazon S3 ,  Amazon Redshift ,  Amazon RDS ,  AWS DMS , and  Amazon CloudWatch . Developing scalable  data pipelines ,  workflow orchestration , and  data integration  solutions across enterprise environments. Working with modern data lake technologies including  Apache Iceberg  and data formats such as  Parquet ,  ORC , and  Avro . Designing and optimizing solutions using relational and NoSQL databases including  PostgreSQL ,  Redshift ,  Oracle ,  GraphDB , and other  NoSQL  platforms. Building reliable, high-performance data platforms through  performance tuning ,  system optimization , and enterprise-scale  ETL/ELT  architectures. Java  development and modern  CI/CD  practices using  Harness . Strong analytical and problem-solving skills Experience working in agile, iterative software development environments Ability to quickly learn and apply new technologies and domain knowledge Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences Nice to Have Experience supporting analytics, data engineering, or modernization initiatives for  financial regulators,  capital markets, or other highly regulated environments is a plus.  Experience with  Kafka  (streaming/data pipelines) Experience with Docker and Kubernetes for containerization and orchestration Proficiency with Splunk for log aggregation and system monitoring Experience using Terraform for infrastructure automation and management Strong SQL skills, including performance tuning and complex query design Full Time Employee Benefits Remote Work  (Hybrid roles will be specified in the job post) Competitive Compensation Package Medical, Dental, and Vision Life Insurance, Short/Long Term Disability Employee Assistance Program 401(k) with 4% matching Liberal PTO vacation policy Generous Annual Continuing Education Annual Wellness Budget Bonus Incentive Programs  (Employee referrals and performance-based rewards) Attain Talent is committed to fair and equitable compensation practices. The individual base salary for this positi