Data Engineer

It's fun to work in a company where people truly BELIEVE in what they're doing!

We're committed to bringing passion and customer focus to the business.
 

Ready to take the next step in your career journey?

FHI is hiring a hands-on Data Engineer who works independently and thrives in a fast-moving environment. You’ll own and support ETL/data pipelines, integrations, and reporting—diagnosing issues, improving data quality, and partnering with BI to deliver reliable, scalable solutions.

Key Responsibilities

• Maintain and support ETL, data flows, and reporting processes; serve as Level-1 production support for data flow incidents.
• Monitor, schedule, and optimize BI jobs; maintain integration catalogs and documentation.
• Troubleshoot upstream/downstream impacts; translate changes into end-to-end reporting solutions (Power BI, SSRS, Workday).
• Build and refine data pipelines; assemble large datasets that meet functional and non-functional needs.
• Automate manual processes and improve data delivery and reliability.
• Create clear documentation (ETL processes, object usage, data models) and test/validate code changes.

Required Skills & Abilities

• Strong SQL (queries, tuning, stored procedures, views, functions).
• Practical experience with Python and Pandas; inbound/outbound APIs; scripting, logging, error handling, containers, and loops.
• Solid grasp of data architecture and modeling (normalized/denormalized, star/snowflake).
• Knowledge of SDLC; excellent analytical, problem-solving, and communication skills.
• Proven ability to work independently, multi-task, and deliver in a rapidly changing environment.

Education & Experience

• Bachelor’s in Computer Science or related field, or equivalent experience.
• Experience maintaining data pipelines and integrations across SQL Server/Snowflake or similar environments; BI/reporting with Power BI/SSRS/Workday.
• Familiarity with source control (e.g., Git) and ERP data flows (e.g., Workday).

Certifications (Preferred)

• Microsoft Azure Data Engineer Associate (DP-203)
• AWS Certified Data Analytics – Specialty
• Snowflake SnowPro Core
• Any relevant SQL Server/Power BI certifications

Physical Requirements

• Prolonged periods of sitting and working on a computer.

Location:

• Remote (US) with working hours aligned to Eastern time. Strong preference for candidates based in North Carolina.

Compensation:

• Determined by experience, skills, and role fit.

By submitting this application, you are providing consent for FHI to contact you via phone (call or text) or email. 

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the associate for the job.  Duties, responsibilities, and/or activities may change at any time with or without notice. 

FHI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Additional Location:

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!