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Data Engineer

1 month ago
United States
Full-time
Mid Level
Data Engineer
Software Development
Agile Apache Airflow Apache Spark AWS CI/CD CloudFormation Databricks dbt Docker GitHub Hadoop Hive Java Kafka Kubernetes OpenSearch PostgreSQL Python Splunk SQL Terraform Trino
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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
51-250
Founded 2010
View All Jobs 5

Description

  • Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models.
  • Develop and optimize AWS-native data platforms and orchestration workflows.
  • Build high-performance ingestion, transformation, and orchestration solutions for structured and semi-structured data.
  • Design and optimize analytical data platforms and enterprise data catalog solutions.
  • Integrate enterprise and external data sources across relational and NoSQL systems.
  • Build AI-enabled data solutions using Bedrock, RAG pipelines, and vector search technologies.
  • Develop cloud infrastructure using Infrastructure as Code, CI/CD pipelines, and event-driven services.
  • Improve platform reliability, scalability, performance, and maintainability through monitoring, troubleshooting, and automation.
  • Support mission-critical analytics and reporting in AWS-based federal environments that meet FedRAMP and NIST 800-53 controls.
  • Lead modernization efforts migrating legacy workflows and platforms to cloud-native AWS services.
  • Mentor junior engineers through technical guidance, architecture discussions, and code reviews.
  • Collaborate with cross-functional teams in an Agile environment and communicate technical concepts to varied stakeholders.

Requirements

  • Must be a US Citizen and able to obtain Public Trust clearance.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • 4+ years of professional experience in data engineering or a related domain.
  • Strong hands-on experience with Databricks, Apache Spark (PySpark), Python, SQL (PostgreSQL), and dbt.
  • Experience designing and maintaining AWS-native 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.
  • Experience developing scalable data pipelines, workflow orchestration, and data integration solutions.
  • Experience with Apache Iceberg and data formats such as Parquet, ORC, and Avro.
  • Experience with PostgreSQL, Redshift, Oracle, GraphDB, and other NoSQL platforms.
  • Experience with Java development and modern CI/CD practices using Harness.
  • Experience working in agile, iterative software development environments.
  • Strong analytical, problem-solving, written, and verbal communication skills.
  • Experience with Kafka, Docker, Kubernetes, Splunk, or Terraform is preferred.
  • Experience supporting regulated environments such as financial regulators or capital markets is a plus.
  • Strong SQL skills, including performance tuning and complex query design, is preferred.

Benefits

  • Remote work, with hybrid roles specified in the job post.
  • Competitive compensation package with an estimated salary range of $110k to $140k annually.
  • Medical, dental, and vision insurance.
  • Life insurance plus short- and long-term disability coverage.
  • 401(k) with 4% matching.
  • Liberal PTO vacation policy.
  • Generous annual continuing education support.
  • Annual wellness budget.
  • Bonus incentive programs for referrals and performance-based rewards.

Interested in this position?

Apply directly on the company website

Apply Now

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