472 Embedded Engineer jobs in Topeka,IN

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Information Technology Professional (IT Support)

US Navy

Ligonier, IN 46767

New, Posted 5 hours ago

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Data Engineer

TEKsystems

Columbia City, IN 46725

$80,000-$112,000/yr

~ 42 min OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

MUST BE ELIGIBLE TO WORK W2
MUST BE ABLE TO INTERVIEW ONSITE
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.