

Tech Lead Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Tech Lead Data Engineer on a 6-month contract-to-hire in Indianapolis, IN (hybrid, 3 days onsite). Requires 6+ years of experience, strong SQL, data architecture knowledge, and team leadership skills.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 12, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Indianapolis, IN
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π§ - Skills detailed
#Looker #Data Processing #Data Modeling #Luigi #Airflow #Data Quality #Data Lake #BigQuery #Tableau #Data Architecture #Data Exploration #Cloud #Computer Science #"ETL (Extract #Transform #Load)" #Microsoft Power BI #SQL (Structured Query Language) #BI (Business Intelligence) #Data Governance #Visualization #Automation #Documentation #Data Warehouse #dbt (data build tool) #Deployment #Data Engineering #Agile #DataOps #Big Data #Python #Data Pipeline #GIT
Role description
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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Camelot Integrated Solutions Inc, is seeking the following. Apply via Dice today!
Required Skills
β’ Strong ability to communicate as Technical Leader - needs to have this experience in the past - This is a hybrid role, must be able to sit onsite in Indianapolis, IN 3 days a week - Data Architecture and platforms knowledge - Strong SQL
Additional Skills
Job Description
Role: Tech Lead Data Engineer
Length: 6 month contract-to-hire
Location: Indianapolis, IN (hybrid, 3 days onsite)
Apex Systems is currently looking for a Tech Lead Data Engineer. You will be helping enable data driven decision making by centralizing, processing, and preparing data from throughout the organization to be used to solve real business problems. You will work in a collaborative, agile team with a modern cloud based data stack to deliver value frequently.
Job Responsibilities
β’ Lead the data engineering team to deliver new initiatives
β’ Collaborate cross-functionally with other senior engineers throughout the organization to deliver capabilities and to raise the level of data awareness
β’ Plan long term direction for data solutions
β’ Responsible for the technical architecture and data engineering approach
β’ Work alongside product owner and stakeholders to structure and sequence work to achieve business objectives
β’ Keep current on modern data stack trends and technologies to incorporate into our work
β’ Developing best practices for all technical aspects of the data engineering process.
β’ Mentoring and developing junior members of the team
β’ Building integrations with data sources to ingest data in the central data lake using various technologies.
β’ Cleansing, joining, preparing, and transforming data from raw sources into models suited for analytics purposes
β’ Leveraging DataOps practices such as data test automation, automated quality checks, and automated deployment - to ensure high quality and improve time to delivery
β’ Collaborate with the members of the Analytics teams and others within the organization to ensure data needs are met
β’ Supporting the end users of the data and analytics, responding to tickets and inquiries from business partners when data quality issues occur
β’ Maintaining data governance through documentation of data solutions, through ERDs, Confluence documentation, or external tools
β’ Ensuring our enterprise data is timely and accurate
Required Education And/or Experience
β’ Bachelor s degree in Computer Science or equivalent experience. In-depth understanding of reviewing and manipulating data in complex environments.
β’ 6+ years of experience
β’ Knowledge of big data architecture and patterns
β’ Experience leading teams to deliver data warehouse solutions
β’ Strong SQL skills
β’ Experience with cloud-based data warehouses, BigQuery a plus
β’ Data modeling skills and understanding of analytical data warehousing
β’ Understanding of data exploration, visualization, and BI tools such as Looker, Tableau, and Power BI
β’ Experience with data pipeline and workflow management tools such as Azkaban, Luigi, Airflow
β’ Experience with data processing using Python
β’ Experience with DBT a plus
β’ Working knowledge of source control using git