Data Engineer

TECHEAD is celebrating over thirty-five years of incredible heritage, talent, and accomplishments! To learn more about TECHEAD, visit us at TECHEAD.com or on Glassdoor .

Data Engineer | #22352

Full-time, Direct Hire

Remote - East Coast Preferred

***NO C2C***

Our client is an established logistics and industrial services company seeking a Mid-Level Data Engineer . In this role, you will modernize and scale data infrastructure across operations, finance, and business intelligence, converting raw operational data into trusted, scalable analytics assets.

Ideal candidates will have a background in industrial environments as an individual contributor and are passionate about flawless data.

• Role Type: Mid-Level Data Engineer (3–6 years experience)
• Core Tech Stack: Azure (Data Factory, Data Lake, Databricks), SQL, Power BI
• Domain: Fleet maintenance, supply chain, and field service operations

Core Responsibilities

• Data Pipelines & ETL: Design, build, and maintain production-grade pipelines (ADF, Databricks, SQL) to ingest data from ERP, CRM, and financial systems.
• Data Modeling: Build optimized dimensional models, star schemas, and data marts within Azure Data Lake and data warehouses.
• BI Integration: Prepare and optimize trusted datasets, semantic models, and queries for high-performing Power BI dashboards.
• Data Quality & Governance: Implement validation checks, resolve data integrity issues, and fully document pipelines and business logic.
• Performance Tuning: Monitor and optimize SQL queries, pipeline processing times, and report responsiveness.
• AI Forward: Beyond building the data foundation, this role has real room to expand into automation and AI work across the business

Required Qualifications

• Experience: 3–6 years of data engineering, ETL development, or BI engineering experience.
• Education: Bachelor’s degree in CS, IT, Data Analytics, Engineering, or equivalent experience.
• SQL Mastery: Advanced proficiency in SQL (query optimization, stored procedures, joins, and indexing).
• Cloud & Pipeline Tools: Hands-on experience building production pipelines using Azure Data Factory, Azure Databricks, SSIS, or Python.
• Data Modeling: Solid understanding of dimensional modeling and data warehouse architecture.
• Power BI: Experience preparing datasets, managing refresh schedules, and supporting dashboards.
• Practical AI and automation skills: In addition to pipeline and reporting experience, have the ability to speak to AI-enabled applications you've built at work or personally.
• Soft Skills: Ability to gather requirements from business stakeholders and translate them into data solutions.

Preferred Qualifications

• Industry Experience: Background in transport, logistics, fleet maintenance, distribution, or field/industrial services.
• Advanced Tech: Experience with Python, PySpark, Spark SQL, Delta Lake, Synapse, Fabric, or Snowflake.
• Business Systems: Experience integrating data from Microsoft Dynamics 365 or specialized industrial ERP platforms.
• Data Types: Familiarity with operational data (work orders, asset tracking, inventory, labor, billing, and customer contracts).
• Integrations: Experience with APIs, SFTP, and flat-file ingestion.

Technical Environment Summary

• Cloud/Data Platforms: Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Microsoft Fabric, Snowflake
• Languages & BI: SQL, Python, PySpark, Power BI (DAX, semantic models)
• Target Systems: Microsoft Dynamics 365, specialized industrial ERPs, CRM, and APIs
• Workflows: Git, DevOps, automated monitoring, and alerting tools

TECHEAD provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

For more information on TECHEAD please visit www.techead.com .

No second parties will be accepted.