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Data Engineer

2 hours, 36 minutes ago
United States
Full-time
Mid Level
Data Engineer
Software Development
Agile Apache Airflow Apache Spark AWS Azure CI/CD Databricks GCP Kafka SQL
Apply Now
Element Solutions

Element Solutions

Element Solutions is a human-centered agency specializing in government modernization and digital transformation, offering expertise in DevOps, FHIR, and data analytics.

Professional Services
11-50
Founded 2009
View All Jobs 8

Description

  • Build and maintain high-volume, scalable data pipelines using Apache Kafka and Apache Spark for real-time and batch processing.
  • Design, develop, and optimize data ingestion, transformation, and integration workflows across enterprise systems.
  • Ensure data quality, consistency, and integrity across multiple data sources through validation, cleansing, and reconciliation.
  • Develop and maintain SQL-based data solutions, including complex queries, stored procedures, performance tuning, and data modeling.
  • Collaborate with data analysts, product owners, and application teams to define data requirements and align solutions with business needs.
  • Implement monitoring, logging, and alerting to improve pipeline reliability and observability.
  • Support data architecture design and contribute to best practices for scalable and secure data engineering solutions.
  • Ensure compliance with federal data governance, security, and privacy requirements.
  • Participate in Agile ceremonies and support iterative delivery of data capabilities.
  • Troubleshoot and resolve data pipeline issues to minimize disruption to downstream systems and reporting.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field, or equivalent experience.
  • 3+ years of experience in data engineering, data integration, or a related technical role.
  • Strong hands-on experience with Apache Kafka for streaming data pipelines.
  • Strong experience with Apache Spark for large-scale batch and/or streaming data processing.
  • Advanced SQL development experience, including complex queries, performance tuning, and data transformation logic.
  • Experience integrating and managing data across multiple heterogeneous data sources.
  • Experience working in federal government or other highly regulated environments with security and compliance requirements.
  • Strong understanding of data quality management, data validation, and data governance practices.
  • US Citizenship or Permanent Residency required; must reside in the Continental US.
  • Public trust background check or security clearance may be required depending on the government agency.
  • AWS Data Engineer certification preferred.
  • Experience with cloud platforms such as AWS, Azure, or GCP, especially data services like S3, Glue, Databricks, or BigQuery.
  • Familiarity with data orchestration tools such as Airflow or NiFi.
  • Experience supporting healthcare, insurance, or CMS-related data environments preferred.
  • Knowledge of data modeling techniques such as dimensional modeling and star/snowflake schemas.
  • Experience with DevOps practices, CI/CD pipelines, and infrastructure-as-code for data systems.
  • Familiarity with real-time analytics and event-driven architectures.

Benefits

  • Competitive pay with a likely salary range of $135,000 to $155,000 per year.
  • Health care, dental, vision, and life insurance.
  • 401(k) retirement plan.
  • Paid time off, including PTO, holidays, and other paid leave required by law.
  • Remote-first work environment.
  • Equal opportunity employer with inclusive hiring practices.

Interested in this position?

Apply directly on the company website

Apply Now

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