Big Data Engineer

Job-ID Reference
26-02235

Remote
50% Remote

Title:

Senior Data Engineer

Location:

Rockville, MD
Target

Start Date:

ASAP
Type: contract
Pay Rate: DOEWe are seeking an experienced Senior Data Engineer to design, develop, and optimize large-scale data processing pipelines in a cloud-based environment. This role requires strong software engineering fundamentals, hands-on experience with Big Data technologies, and the ability to solve complex technical challenges involving high-volume data processing.

The ideal candidate is a highly analytical problem solver who can independently investigate issues, develop scalable solutions, and collaborate with cross-functional teams to deliver reliable, high-performance data systems.

Key Responsibilities Design, develop, and maintain scalable data processing pipelines using Big Data technologies and AWS cloud services.

Collaborate with engineering teams and business stakeholders to translate requirements into effective technical solutions.

Optimize existing data pipelines to improve performance, scalability, efficiency, and reliability.

Develop and maintain automated unit, integration, and end-to-end tests to ensure data quality and system stability.

Troubleshoot complex data processing challenges, including data skew, resource constraints, job failures, and data discrepancies.

Monitor production data pipelines, proactively identify issues, and implement sustainable solutions.

Apply software engineering best practices, including code quality, test automation, and continuous integration.

Evaluate technical approaches and recommend improvements to data architecture and processing capabilities.

Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical field with 8+ years of relevant experience, or an advanced degree with 5+ years of experience.

Strong hands-on experience with Big Data technologies, particularly Apache Spark and Hadoop.

Experience developing and optimizing large-scale data processing pipelines, including working with high-volume or petabyte-scale datasets.

Proficiency in Python, SQL, or another programming language used for data engineering.

Hands-on experience with AWS services such as S3, EMR, Glue, Lambda, Athena, or Kubernetes.

Strong understanding of distributed data processing, performance optimization, data skew, and resource management.

Experience diagnosing and resolving complex pipeline failures, scalability limitations, and data quality issues.

Knowledge of object-oriented programming, database technologies, and enterprise software development practices.

Experience with automated testing, build automation, and configuration management.

Demonstrated ability to independently solve complex technical problems and develop practical, scalable solutions.

Strong analytical, troubleshooting, and communication skills, with the ability to explain technical concepts to diverse audiences.

Preferred Qualifications Advanced degree in Computer Science, Engineering, or a related discipline.

Experience working with large-scale enterprise data platforms in cloud environments.

Familiarity with financial services, regulatory reporting, or U.S. financial market structure.

Understanding of evolving industry regulations and their impact on data processing and reporting.

Contributions to open-source projects, technical publications, or engineering communities.

Relevant AWS certifications.

Ideal Candidate The successful candidate will bring a combination of strong coding ability, deep technical expertise, and exceptional problem-solving skills. We are particularly interested in engineers who can demonstrate ownership of challenging technical problems, explain their approach to troubleshooting and optimization, and deliver scalable solutions in complex data environments.

This position is well suited for someone who enjoys hands-on engineering, working with large datasets, and solving difficult problems that require both technical depth and creative thinking.

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