Senior Data Engineer — United States — LinkedIn — 4489394706

ClearanceJobs is seeking a Senior Data Engineer to help deliver reliable, scalable data solutions for complex mission and business needs. In this role, you will work with client teams and technical practitioners to develop enterprise-grade data platforms, services, and pipelines. You will bring strong engineering judgment, a customer-focused approach, and a passion for solving challenging data problems.

About The Company

ClearanceJobs connects professionals with opportunities supporting government missions and the organizations that serve them. This position supports work focused on helping clients turn data into a strategic asset. By aligning data collection, technology, and organizational goals, teams can enable more informed decisions and advance mission outcomes. Our approach integrates data engineering with Human-Centered Design and DevSecOps practices, emphasizing solutions that are useful, secure, and built to meet real user needs.

About The Role

As a Senior Data Engineer, you will design, build, and improve data platforms and pipelines in cloud environments, with AWS preferred. You will lead and architect data environment migrations with a focus on performance, reliability, and maintainability. You will assess existing ETL jobs, workflows, business intelligence tools, and reports, then help shape practical modernization strategies. You will also address technical questions related to customization, integration, enterprise architecture, and data product features. This position contributes to Agile delivery and supports the continued growth of the data engineering practice. The role requires the ability to hold a position of public trust with the U.S. government.

Qualifications

Candidates should have 5–7 years of industry experience developing commercial software and 5–7 years of direct data engineering experience. Strong Python and AWS skills are required; experience with Azure or Google Cloud Platform is also relevant. Qualified candidates will bring advanced SQL skills, including query development and optimization, and experience with relational and NoSQL databases such as PostgreSQL and Cassandra. Experience with data warehouses, data modeling, and transactional data architectures is expected.

Additional experience may include Hadoop, Spark, Kafka, streaming technologies, and workflow tools such as VsYbkc6, Luigi, or Azkaban. Familiarity with AWS services such as EC2, EMR, RDS, and Redshift—or comparable Azure services—is valuable. Experience with search technologies such as Solr, Lucene, or Elasticsearch, and programming languages such as Java, C++, or Scala, is also beneficial. You should be comfortable working with large, disconnected datasets; processing structured and unstructured data; and supporting developers and data scientists building web interfaces, dashboards, reports, and analytics or machine learning models. Clear communication, collaboration, and customer service skills are essential.

Responsibilities

Design and implement scalable data platforms, pipelines, and cloud-based warehouse solutions. Lead data environment migrations and improve system performance, reliability, and operational effectiveness. Review existing ETL processes, workflows, BI assets, and reports to identify opportunities for improvement. Develop complex queries and data models, aggregate information across multiple datasets, and prepare data for analysis and reporting. Support message queuing, stream processing, and highly scalable data stores. Collaborate with clients, developers, data scientists, and multidisciplinary teams throughout the Agile software development lifecycle. Explain technical options and recommendations clearly, and contribute to secure, mission-aligned solutions.

Benefits

The projected annual compensation range is $125,000–$165,000. Actual compensation may vary based on location, contractual requirements, education, knowledge, skills, competencies, and experience. Salary is one component of the total compensation package; additional benefits may be available. As part of the application process, candidates are expected to be on camera during interviews and assessments. The organization may take a photograph to verify identity and help prevent fraud.

Equal Opportunity

ClearanceJobs is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by applicable law. The organization participates in the E-Verify program.