Data Engineer

🕒 October 29

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

ETL

PySpark

Python

SQL

Tableau

Unity

Where this job comes from

Posted on Anika Systems's careers page ↗Anika Systems's careers page, not through a job board

First seen by Remote Rocketship October 29

Still open on Anika Systems's site. Checked 5 minutes ago.

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Logo of Anika Systems

Anika Systems

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Anika Systems is an outcome-driven technology solutions provider specializing in assisting Federal agencies in meeting their mission goals and preparing for the future. The company offers a range of services including Data and Analytics, Intelligent Automation, Application Development, IT Modernization, and Cloud Engineering. Anika Systems collaborates with Federal agencies to create long-term, innovative, and empowering solutions, focusing on delivering goals successfully on time and within budget. Their capabilities include data strategy, machine learning, cloud transformation, and more, leveraging partnerships with platforms like Microsoft Azure and Red Hat to enhance their offerings.

📋 Description

• Design, build, and maintain scalable ETL/ELT data pipelines using PySpark and Python within Databricks environments • Develop and optimize SQL queries and data models for analytical and reporting workloads • Automate data ingestion from APIs, flat files, relational databases, and streaming feeds • Monitor pipeline health, resolve data quality issues, and implement alerting and logging • Collaborate with data architects on schemas, partitioning strategies, and performance optimization • Conduct exploratory data analysis to identify trends, anomalies, and improvement opportunities • Develop self-service analytics dashboards and reports using Databricks SQL, Tableau, or Power BI • Write complex SQL queries against large datasets for ad hoc analytical requests • Translate business questions into analytical tasks and deliver findings through visualizations, written summaries, or briefings • Work with data scientists, program analysts, IT engineers, and agency stakeholders to deliver tailored solutions • Document pipelines, data models, and analytical notebooks for knowledge transfer, peer review, and audit readiness • Participate in Agile sprint ceremonies and backlog grooming, delivering iterative data products aligned with program priorities

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related technical field • 3+ years of experience in data engineering, data analytics, or a closely related discipline • Demonstrated experience on federal government programs or supporting a federal agency data environment • Strong proficiency in SQL, including complex joins, window functions, CTEs, and query performance tuning against large datasets • Hands-on experience with PySpark for distributed data processing, transformations, and optimization techniques • Proficiency in Python for scripting, data manipulation, and automation • Direct experience working within Databricks, including notebooks, jobs, clusters, and Unity Catalog • Familiarity with data lakehouse concepts including Delta Lake, bronze/silver/gold architecture, and medallion design patterns • Experience with version control systems such as Git, GitHub, or GitLab and collaborative development workflows • Candidates must be a U.S. Citizen • Ability to obtain and maintain a government suitability clearance

🏖️ Benefits

• 100% remote work • Professional growth opportunities • Employee empowerment and autonomy • Collaboration and trust-based work environment

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