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Lead Data Engineer

Job not on LinkedIn

🔥 9 minutes ago

🏄 California – Remote

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đź’µ $130k - $155k / year

⏰ Full Time

đźź  Senior

đźš° Data Engineer

🦅 H1B Visa Sponsor

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đź‘» Ghost score 0%

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Logo of Analytical Mechanics Associates

Analytical Mechanics Associates

501 - 1000 employees

Founded 1962

đź’Ľ Consulting

🎖️ Defense

🚀 Aerospace

Consulting • Defense • Aerospace

Analytical Mechanics Associates is a customer-focused engineering and information technology firm that has been solving complex engineering, science, and business problems since 1962. The company has significant experience working with government and commercial organizations, particularly in support of NASA’s various missions. Their core services include engineering, science, analytics, software products and solutions, and research and development, serving a range of federal contract vehicles and other high-profile clients in the aerospace sector.

đź“‹ Description

• Lead analytics product design, including dashboard layouts, visualization approaches, and semantic model architecture • Design and develop production-grade reports and dashboards • Engage stakeholders directly and validate KPIs • Build certified Power BI semantic models, executive dashboards, operational reporting, and governed self-service analytics • Design and implement layered data pipelines using Databricks, Azure Data Factory, Snowflake, or comparable tools • Implement automated data quality checks, reconciliation, pipeline monitoring, alerts, and operational support dashboards • Reverse-engineer and modernize legacy SQL, SSIS, or integration workloads • Establish and enforce engineering standards for SQL, Python, notebooks, repositories, testing, documentation, and naming conventions • Implement Azure DevOps branching strategies, CI/CD pipelines, release management, and environment separation • Design enterprise data governance frameworks, including documentation, role-based access controls, metric definitions, and data lineage • Translate business and analytical needs into scalable technical solutions • Assist with technical direction across data environment and data presentation work streams • Mentor team members and help establish a collaborative engineering culture • Troubleshoot technical issues and proactively detect data issues through validation and monitoring

🎯 Requirements

• BA/BS in a technical field including mathematics, information technology, engineering, accounting, or computational finance • 5+ years of professional experience in business analytics or data engineering • Minimum 5 years of hands-on experience with BI visualization tools such as Power BI, Tableau, DOMO, or equivalent platforms • Strong production experience with Databricks, Snowflake, Azure Data Factory, or a comparable modern cloud data platform • Advanced SQL and Python skills • Experience building production ingestion, transformation, and analytics pipelines • Experience implementing data governance, quality monitoring, lineage, and access controls • Experience reverse-engineering and modernizing legacy SQL, SSIS, or integration workloads • Experience with Git, Azure DevOps, CI/CD, testing, and controlled production releases • Experience with Data Vault 2.0 or another governed historical modeling approach • Ability to communicate effectively with technical teams and non-technical business stakeholders • Demonstrated ownership of solutions from design through production support • Strong documentation, troubleshooting, and problem-solving skills • Must have a primary place of business in the Central Time Zone • Must be a US citizen or Permanent Resident

🏖️ Benefits

• Paid personal leave • Federally recognized holiday leave • Salary deferrals into a 401(k)-matching plan with immediate vesting • Tuition reimbursement • Short-term disability plan • Long-term disability plan • Medical insurance options • Dental insurance options • Vision insurance options • Professional growth opportunities • Engaging, collaborative, and supportive work environment

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