Data Engineer

Description 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 design20%: data modeling & warehousing15%: spark-based data processing15%: SQL development10%: platform integration10%: monitoring, governance, & documentation Skills Python, Azure, azure synapse, Sql, t sql, scala, Spark, databricks, logicapps, devops Top Skills Details Python,Azure,azure synapse,Sql,t sql,scala Additional Skills & Qualifications Bachelors degree in information systems, Computer Science, Engineering or equivalent years of experience in data or software engineering rolesAdvanced skills in T-SQL and experience tuning queries for performance in large-scale distributed environmentsProficient use of Apache Spark, preferably within Synapse or Databricks, using Scala and/or PythonExperience with source control (Git) and CI/CD practices using Azure DevOpsStrong 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 needsMicrosoft certifications such as:-Azure Data Engineer Associate-Azure Solutions Architect ExpertExperience with additional Azure services such as:-Azure Databricks, Azure Functions, Event Hubs, Logic Apps, Key Vault, and Power BIExposure to data lakehouse architecture, Delta Lake, or other modern data platformsUnderstanding of data privacy and compliance frameworks (e.g., NERC, FERC, GDPR, CCPA, or smart meter data privacy protocols ) Experience Level Expert Level Job Type & Location This is a Contract position based out of Indianapolis, IN. Pay and Benefits The pay range for this position is $52.00 - $67.00/hr. 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. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Job Type & Location This is a Contract position based out of Indianapolis, IN. Application Deadline This position is anticipated to close on Oct 30, 2026. Workplace Type This is a hybrid position in Indianapolis,IN. About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. 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. About TEKsystems and TEKsystems Global Services Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. 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. 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. #J-18808-Ljbffr TEKsystems