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Senior Data Engineer

1 week ago
United States
Full-time
Senior
Data Engineer
Software Development
Agile Apache Airflow Apache Spark AWS CI/CD dbt Docker GitHub Hadoop Java Kafka Kubernetes OpenSearch Oracle PostgreSQL Python Splunk SQL Terraform Trino
Apply Now
Capital Technology Group

Capital Technology Group

Capital Technology Group offers technical leadership and expert consulting services for enterprise architecture, application integration, custom development, big data, and search. With a focus on solving business problems through technology, CTG ensure...

Internet Software & Services
51-200
Founded 2010
View All Jobs 10

Description

  • Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models.
  • Develop AWS-native data platforms and orchestration workflows using services including Glue, EMR, MWAA, Lambda, Step Functions, S3, Redshift, RDS, DMS, and CloudWatch.
  • Build high-performance ingestion and transformation workflows for structured and semi-structured data.
  • Design and optimize analytical data platforms using Athena, Trino, Hive, OpenSearch, and enterprise data catalogs.
  • Integrate enterprise and external data sources across relational and NoSQL databases.
  • Build AI-enabled data solutions using Amazon Bedrock, RAG pipelines, and vector search technologies.
  • Develop cloud infrastructure as code and CI/CD pipelines, including event-driven architectures.
  • Improve platform reliability, scalability, performance, and maintainability through monitoring, troubleshooting, automation, and optimization.
  • Lead migrations from legacy data platforms and workflows to cloud-native AWS services.
  • Mentor junior engineers and collaborate with cross-functional Agile teams to deliver compliant federal data solutions.

Requirements

  • U.S. citizenship and ability to obtain Public Trust clearance.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.
  • 6+ years of professional experience in data engineering or a related field.
  • Hands-on experience with Python, Apache Spark/PySpark, SQL/PostgreSQL, and dbt for large-scale ETL/ELT, transformation, and data modeling.
  • Experience with AWS data services including Glue, EMR, MWAA/Airflow, Lambda, Step Functions, S3, Redshift, RDS, DMS, and CloudWatch.
  • Experience designing scalable data pipelines, workflow orchestration, and enterprise data integration solutions.
  • Experience with Apache Iceberg and columnar data formats including Parquet, ORC, and Avro.
  • Experience with relational and NoSQL platforms such as PostgreSQL, Redshift, Oracle, GraphDB, and other NoSQL databases.
  • Java development experience and modern CI/CD practices using Harness.
  • Experience working in Agile development environments, with strong analytical, communication, and problem-solving skills.
  • Experience with Kafka, Docker, Kubernetes, Splunk, Terraform, or advanced SQL performance tuning (preferred).
  • Experience supporting financial regulators, capital markets, or other highly regulated environments (preferred).

Benefits

  • Estimated annual salary range of $130,000–$165,000.
  • Remote work options, with hybrid requirements specified by role.
  • Medical, dental, vision, life, and short- and long-term disability insurance.
  • 401(k) with 4% employer matching.
  • Liberal PTO vacation policy.
  • Annual continuing education support and wellness budget.
  • Employee Assistance Program.
  • Bonus incentive programs, including referral and performance-based rewards.

Interested in this position?

Apply directly on the company website

Apply Now

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