Cleared Onsite Data Engineer (4955)

ClearanceJobs

United States

United States

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À propos

divh2Data Engineer/h2pSMX is seeking a Data Engineer to provide strategic and technical leadership for enterprise data architecture and analytics modernization efforts within the FBIs Human Resources Reports Program. This individual will design, optimize, and oversee data solutions that enable advanced analytics, business intelligence, and reporting capabilities across multiple secure environments. The ideal candidate will have deep experience with data warehousing, cloud-native architectures, and BI ecosystems such as MicroStrategy, ThoughtSpot, or Power BI. This is a full-time position requiring on-site work five days a week at a clients office in Washington, D.C. An active Top Secret clearance is mandatory./ppEssential Duties and Responsibilities:/pulliLead the design and implementation of enterprise data architectures supporting analytical, operational, and reporting workloads./liliDevelop and maintain data models, metadata standards, and integration strategies to ensure scalability, reliability, and data integrity across systems./liliCollaborate with data engineers, developers, and analysts to define data pipelines, warehouse structures, and schema management practices./liliEvaluate and recommend tools, technologies, and cloud services (AWS, Redshift, Glue, Athena, etc.) to support evolving mission and security requirements./liliProvide architectural oversight for ETL/ELT processes, data quality frameworks, and governance policies./liliPartner with program leadership and government stakeholders to translate business objectives into actionable data solutions./liliSupport modernization of legacy data systems and migration toward cloud-based, event-driven architectures./liliMentor technical staff and promote best practices for secure, efficient data engineering and analytics./liliStay abreast of emerging trends in data architecture, AI/ML integration, and federal data management standards./li/ulpRequired Skills:/pulli8+ years of experience in data architecture, data warehousing, or enterprise analytics systems./liliExpert-level proficiency in SQL and data modeling/liliHands-on experience designing and implementing ETL/ELT frameworks (e.g., Apache Airflow, dbt, AWS Glue, Informatica)./liliDemonstrated success architecting and optimizing large-scale BI/reporting solutions (MicroStrategy, ThoughtSpot, Power BI, Tableau)./liliStrong knowledge of AWS data ecosystem (Redshift, Athena, S3, Glue, Lambda) or similar cloud environments./liliExperience defining and enforcing data governance, quality, and security standards./liliAbility to design and document end-to-end data flows and integrations between transactional and analytical systems./liliExcellent communication, analytical, and problem-solving skills./liliBachelors degree in Computer Science, Information Systems, Engineering, or a related field./li/ulpDesired Skills/Experience:/pulliMasters degree in Computer Science, Information Systems, or related field./liliExperience leading federal data modernization or analytics programs./liliFamiliarity with Python or other scripting languages for data processing and automation./liliKnowledge of data cataloging, metadata management, and data lineage tools./liliExposure to AI/ML pipelines, predictive analytics, or natural language query tools such as ThoughtSpot Sage or AWS Bedrock./liliAWS Certified Solutions Architect, Data Analytics Specialty, or equivalent certification./liliExperience mentoring data engineers or architects in an Agile or SAFe environment./li/ulpThe proposed salary for this position is: $114,600 - $192,500 USD/ppSMX is an Equal Opportunity employer including disabilities and veterans./p/div

United States

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English

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