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# Data Engineer

- **Company:** TEKSYSTEMS INC.
- **Location:** Indianapolis, IN, United States (Remote available)
- **Salary:** $108,160.0 - $139,360.0
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Audit Trail, Microsoft Azure, Big Data, Cloud Computing, Cloud Engineering, Information Systems, Continuous Integration, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Systems, Database Development, DevOps, Distributed Systems, Python (Programming Language), Meta-Data Management, Scrum Methodology, Role-Based Access Control, Power BI, Scala (Programming Language), Software Engineering, SQL Stored Procedures, SQL Databases, Transact-SQL, Unstructured Data, Azure Service Bus, Synapse Citrix, Data Processing, Microsoft Power Automate, Azure Data Factory, Apache Spark, Git, Data Lakes, Information Technology, Data Lakehouse, Azure Synapse Analytics, Software Version Control, Data Pipelines, Serverless Computing, Key Vault, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/in/indianapolis/fcf15965-2f9f-4158-b012-2104197bee98

## About the Role

Python, Azure, azure synapse, Sql, t sql, scala, Spark, databricks, logicapps, devops, Bachelors degree in information systems, Computer Science, Engineering or equivalent years of experience in data or software engineering roles Advanced skills in T-SQL and experience tuning queries for performance in large-scale distributed environments Proficient use of Apache Spark, preferably within Synapse or Databricks, using Scala and/or Python Experience with source control (Git) and CI/CD practices using Azure DevOps Strong communication and leadership skills, with the ability to engage technical and non-technical stakeholders across the organization. Deep understanding of Azure Data Factory, Data Lake Gen2, and SQL pools (dedicated/serverless) Experience building end-to-end data pipelines that support analytics, reporting, and operational needs Microsoft certifications such as: -Azure Data Engineer Associate -Azure Solutions Architect Expert Experience with additional Azure services such as: -Azure Databricks, Azure Functions, Event Hubs, Logic Apps, Key Vault, and Power BI
Exposure to data lakehouse architecture, Delta Lake, or other modern data platforms Understanding of data privacy and compliance frameworks (e.g., NERC, FERC, GDPR, CCPA, or smart meter data privacy protocols ), Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

DevOps
Power BI
Equities
Operations
Leadership
Governance
Data Lakes
Encryption
Databricks
Warehousing
Scalability
Apache Spark
Transact-SQL
Azure DevOps
Data Privacy
Communication
Data Modeling
Data Pipelines
Data Lakehouse
Synapse Citrix
Version Control
Microsoft Azure
Data Governance
Data Processing
Azure Functions
Computer Science
Azure Databricks
Stored Procedure
Azure Logic Apps
Agile Methodology
Unstructured Data
Business Valuation
Azure Data Factory
Workflow Management
Information Systems
Metadata Management
Smart Meter Systems
Software Engineering
Serverless Computing
Cloud-Native Computing
Full Stack Development
Business Transformation
Azure Synapse Analytics
SQL (Programming Language)
Git (Version Control System)
Extract Transform Load (ETL)
Scrum (Software Development)
Scala (Programming Language)
Python (Programming Language)
Microsoft Certified Professional
Role-Based Access Control (RBAC)
Troubleshooting (Problem Solving)
General Data Protection Regulation (GDPR)
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure Solutions Architect Expert, This role is responsible for building, optimizing, and managing large-scale data pipelines and solutions that power critical business insights and operations. The ideal candidate will have a strong command of T-SQL, hands-on experience working with Apache Spark, and the ability to develop data workflows using Python or Scala. This role is perfect for someone passionate about building robust, scalable data solutions in cloud-native environments. Architect and implement data pipelines, data lakes, and warehouse models using Azure Synapse Analytics, and Data Lake Storage. Develop and optimize complex T-SQL queries, views, stored procedures, and data transformations in both dedicated and serverless SQL pools. Leverage Apache Spark (via Synapse) to process and transform large-scale datasets using Scala and/or Python. Design and implement ELT/ETL workflows across structured, semi-structured, and unstructured data sources. Collaborate with business analysts, data scientists, and stakeholders to
deliver reliable and performant data solutions. Monitor, troubleshoot, and optimize performance across Synapse pipelines, Spark pools, and Azure data services. Apply data governance, metadata management, and security practices including RBAC, encryption, and auditability. Work within Agile/Scrum teams using modern DevOps and CI/CD practices for data development and deployment. 30%: data pipeline design 20%: data modeling & warehousing 15%: spark-based data processing 15%: SQL development 10%: platform integration 10%: monitoring, governance, & documentation