Data Engineer

TEKsystems

Columbia City (IN)

On-site

USD 80,000 - 112,000

Full time

14 days+

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Benefits offered by this job

Stock Benefits
Educational Assistance
Paid Vacations and Holidays
Health Insurance

Job summary

Steel Dynamics is seeking a Data Engineer to own and evolve a modern data stack, moving data from diverse sources into analytics-ready models that power decision making. You will design and operate pipelines, shape semantic models in Power BI and Fabric, and optimize our Azure Stack and ERP data structures.

The role requires 3–5 years of data engineering experience, strong SQL skills, and hands-on experience with orchestration tools. This is a permanent onsite position based in Columbia City, IN.

Qualifications

  • Bachelor's degree or higher in data-related field.
  • 3–5 years of professional data engineering experience in production.
  • Experience with ETL pipelines and orchestration tools.
  • Experience with Azure data services (Azure Data Lake, Data Factory).
  • Proficiency in SQL with advanced capabilities and performance tuning.
  • Experience building semantic models in Power BI or Fabric.

Responsibilities

  • Own and evolve a modern data stack to move data from diverse sources to analytics-ready models.
  • Design and operate data pipelines and semantic models.
  • Optimize and manage the Azure Stack and ERP data structures and ETL services.
  • Collaborate with stakeholders to gather requirements and ensure data quality and reliability.

Skills

Azure
Etl
Python
Sql
Data
Data warehouse

Education

Bachelor's degree in Data Engineering, Computer Science, or related field

Tools

SSIS
Dagster
Airflow/Prefect
Microsoft Fabric
Power BI
Git

Job description

Description

The Data Engineer at Structural and Rail division will own and evolve our modern data stack, moving data from diverse sources into trusted, analytics-ready models that power decision making across the business. You'll design and operate pipelines, shape semantic models in Power BI / Fabric, optimize and manage our Azure Stack. This role will also involve optimizing our ERP data structures and ETL services.

Skills
  • Azure
  • Etl
  • Python
  • Sql
  • Data
  • Data warehouse
Additional Skills & Qualifications
  • Design, build, and maintain ETL pipelines, currently with SSIS.
  • Design and implement Azure data assets.
  • Build and maintain Power BI semantic models, optimizing for refresh and query performance.
  • Leverage Microsoft Fabric for end-to-end analytics workflows, governance, and distribution.
  • Manage integrations with external APIs/Applications such as Power BI, Azure DevOps, SalesForce CRM, Princeton TMX.
  • Administer and optimize On-Prem SQL, Oracle, Azure SQL objects, ensuring data quality and reliability.
  • Partner with end users and business stakeholders to gather requirements, perform testing and QA, and ensure smooth handoff of deliverables.
  • Monitor, troubleshoot, and continuously improve pipeline reliability, cost, and performance.
  • Data design and preparation for use with AI tools
  • Bachelor's degree in Data Engineering, Computer Science, or related field.
  • 3-5 years of professional data engineering experience in a production environment.
  • Hands-on experience with orchestration tools.
  • Proficiency with a modeling framework (such as Dagster, Airflow/Prefect.
  • Intermediate Python (data access, transformations, packaging/venv, type-safe code, unit tests, etc).
  • SQL Expertise (advanced T-SQL, PL/SQL), window functions, performance tuning, query plans, indexing strategies, partitioning.
  • Azure Data Lake, Data Factory, and other data-centric toolsets.
  • Working knowledge of Microsoft Fabric and Power BI semantic modeling (dimensional design, DAX measures).
  • Linux/Bash skills.
  • API/application integrations experience (REST/JSON, OAuth2/Keys, Odata).
  • Version control with Git and collaborative workflows (PR's, code reviews, etc).
  • Strong communication, documentation, and stakeholder partnership skills.
  • Interactive Data Visualization Design and Implementation.
Experience Level

Intermediate Level

Job Type & Location

This is a Permanent position based out of Columbia City, IN.

Pay and Benefits

The pay range for this position is $80000.00 - $112000.00/yr.

Steel Dynamics puts employees first with a robust benefits package. We're also committed to the health and well-being of our team, urging employees to focus on wellness. When it comes to your health, we encourage everyone to take charge, take action, take care and be safe!

  • Medical, Dental and Prescription Insurance
  • Vision and Hearing Coverage
  • Flexible Spending Accounts
  • Health Savings Accounts
  • Castlight Health Navigation Platform
  • Well-Being Program
  • Life/AD and D Coverage
  • Disability Coverage
  • Profit Sharing and Retirement Savings
  • Stock Benefits
  • Educational Assistance
  • Dependent Child Scholarships
  • Paid Vacations and Holidays
Workplace Type

This is a fully onsite position in Columbia City,IN.

Application Deadline

This position is anticipated to close on Aug 7, 2026.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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