Data Engineer

POET; Sioux Falls (SD); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Tuition reimbursement

Relocation assistance

Job summary

POET is seeking a Data Engineer to build reliable analytics systems, ingest data from plants and markets, and empower researchers, grain buyers, marketers, and engineers to answer tough questions. The role collaborates across business units to align with project goals and deliver scalable data solutions.

You will develop ELT/ETL pipelines, ensure data quality, and support stakeholders with self-serve analytics tools in an on-site Sioux Falls environment.

Qualifications

• Bachelor's or Associate degree required; degrees in engineering, CS, or hard sciences preferred.
• 0–5 years (Entry) / 5–10 years (Mid) / 10+ years (Senior) experience spans the range.
• Proficient in Agile methodologies, distributed systems, orchestration tools, high-availability data systems, database design, and DevOps (infrastructure as code, automated deployment).
• Advanced knowledge of Microsoft Office Suite; ability to learn new programs.

Responsibilities

• Build partnerships with business units to align with project goals.
• Design and oversee enterprise data solutions (Senior Level).
• Develop and maintain data storage solutions (Senior level).
• Build data pipelines to automate collection, cleaning, and transformation (Entry Level+).
• Optimize data storage and retrieval for performance and scalability (Senior Level).
• Ensure data quality and integrity through validation and monitoring (Entry Level+).
• Work with analysts and stakeholders to provide tools that drive projects to completion (Entry Level+).

Skills

Python

R

C#

SQL

Java

Agile

Distributed systems

Orchestration tools

DevOps

Infrastructure as code

Pipelines

Education

Bachelor's or Associate degree

Engineering/Computer Science preferred

Tools

Microsoft Office

Job description

Job Summary & Responsibilities

The Data Engineer will build reliable systems to enable analytics and ensure the timely capture and dissemination of large amounts of business‑critical information. These systems will combine data from all corners of the business – including sensors in the bioethanol plants, commodity pricing data, financial data, and more – and empower research scientists, grain buyers, ethanol marketers, and engineers to answer tough questions.

• Build strong partnerships with business units, ensuring total alignment with project goals and challenges.
• Design and oversee the execution of enterprise data solutions (Senior Level).
• Develop and maintain data storage solutions (Senior level).
• Build data pipelines to automate collection, cleaning, and transformation (Entry Level +).
• Optimize data storage and retrieval for performance and scalability (Senior Level).
• Ensure data quality and integrity through validation and monitoring (Entry Level +).
• Work with analysts and other stakeholders to provide appropriate tools that drive projects to completion (Entry Level +).

Qualifications & Skills

Bachelor's or Associate's degree required. Degrees in Engineering, Computer Science, or a hard science are preferred; candidates with degrees in other fields must have relevant work experience. Experience ranges from 0–5 years (Entry Level), 5–10 years (Mid‑Level), to 10+ years (Senior). Candidates must be proficient in Agile methodologies, distributed systems, orchestration tools, high‑availability data systems, database selection and design, and DevOps practices such as infrastructure as code and automated deployment pipelines.

Advanced knowledge of Microsoft Office Suite and the ability to learn new programs is required.

• Excellent coding skills in Python, R, C#, SQL, and Java.
• Ability to create ELT pipelines.
• Strong customer‑service mindset with a value placed on relationships.
• Understanding of the technical and day‑to‑day operation of a bioprocessing facility.
• High level of personal integrity.
• Interpersonal skills to interact with individuals at all levels within and outside the organization.
• Demonstrated problem‑solving and critical‑thinking skills.
• Ability to embrace and promote change.
• Innovative mindset.
• Objective thinking.
• Self‑awareness in the face of uncertainty.
• Team‑oriented collaboration skills.

Work Environment

This on‑site role requires the Data Engineer to drive a POET vehicle. A motor vehicle record check will be conducted during the pre‑employment process. The position operates primarily in an office environment, working at a personal computer that may be seated or standing. The Sioux Falls office workspace consists of an open‑concept design that promotes communication and collaboration.

Benefits

• Individual and family health, dental, and vision insurance, including a generous employer Health Savings Account contribution.
• Quarterly Profit‑Sharing Bonuses and Bi‑Annual Incentive Bonuses.
• Competitive pay, including shift premium pay for qualifying positions.
• 401(k) with company match.
• Paid time off and paid holidays – 40 hours available on dayone.
• Paid Parental Leave.
• Tuition reimbursement.
• Attractive relocation assistance and bonus programs for qualifying positions and/or locations.

EEO Statement

POET is an Equal Opportunity Employer committed to maintaining a workplace free from discrimination and harassment. Employment decisions are based on qualifications, abilities, merit, and other legitimate business factors, without regard to any legally protected characteristic.