Job Description

★ Data Engineer ★ Join a company where culture isn’t just a buzzword—it’s the reason people stay. This privately held manufacturing organization, part of a global joint venture, has consistently hit performance targets and is scaling aggressively. You’ll be part of a collaborative, veteran-safe team that values ownership, curiosity, and balance. Think: two picnics, two holiday parties, flexible hours, and a manager who protects his people and their time. You’ll have access to LinkedIn Learning, Udemy, and one annual conference—plus 30 minutes a week to work toward certifications. The team works hard, helps each other, and celebrates wins. Compensation is tailored to experience and impact—strong performers have room to grow quickly. Role Focus This Data Engineer role blends technical ownership with cross-functional collaboration:

• 40% Azure-based pipeline development and optimization
• 30% Power BI dashboard maintenance and enhancement
• 30% Business analysis and stakeholder engagement across departments

What You’ll Do 🔧 Pipelines (40%)

• Design, build, and maintain ELT pipelines using Azure Data Factory, Data Lake, and Dagster
• Optimize pipeline performance, reliability, and cost
• Administer Azure SQL and support integrations with D365 and external APIs

Dashboards (30%)

• Modify and maintain 30+ Power BI dashboards across sales, operations, engineering, and finance
• Build semantic models using DAX, star schemas, and Microsoft Fabric
• Tune performance and enable self-service analytics

Business Analysis (30%)

• Partner with stakeholders to gather requirements and translate data into actionable insights
• Support cross-functional initiatives with visualizations, reporting, and ad hoc analysis
• Document workflows and test deliverables for accuracy and usability

What You Bring

• 3–5 years of professional data engineering experience
• Advanced SQL (T-SQL), intermediate Python
• Experience with Azure Data Factory, Power BI, and Microsoft Fabric
• Familiarity with D365 Finance & Operations (preferred)
• Strong communication and stakeholder-facing skills

Bonus Skills

• Dagster, dbt/sqlmesh
• Spark SQL or DuckDB
• REST APIs, OAuth2, JSON, OData
• Git version control and collaborative workflows
• Data warehousing best practices (star schemas, SCDs, CDC)
• Azure IAM and app management

Location: New Haven, IN Benefits Snapshot

• Total compensation expected: $100K–$140K, depending on experience
• Training on and off-site
• Medical, Dental, Vision, and Prescription Insurance
• Flexible Spending & Health Savings Accounts
• Life and Disability Insurance
• Profit Sharing & Retirement Savings
• Stock Benefits
• Educational Assistance & Dependent Child Scholarships
• Paid Vacations & Holidays

This is more than a job—it’s a place to plant roots. You’ll be part of a small, agile team where your voice matters and your work drives real impact across production, engineering, sales, and accounting. If you’re hungry, humble, and smart, this is your launchpad. We’re looking for candidates in NE Indiana & NW Ohio ready to make an impact —especially if you’ve got a story to tell. Send your resume via the link below. Cover letters, current CFS candidates, or referrals? Reach out to Tonya Dove, Director of Technology Recruiting at TDove@CFStaffing.com; •Bridging innovation and intuition—matching people to purpose.•We're always looking for stellar tech professionals in NE Indiana & NW Ohio! Check out our other local job opportunities HERE!

#INAUG2025

#ZRCFSTECH

Click here to apply online

Job Tags

Local area, Flexible hours,

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