Akkodis

Senior Data Engineer - Omaha, NE (Hybrid) - C2H

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Omaha, NE (Hybrid) on a Contract to Hire basis, paying $70 - $80 per hour. Key skills include Data Engineering, Databricks, Python, PySpark, SQL, ETL, and Data Warehousing. A Bachelor's degree or 8+ years of experience is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
-
🗓️ - Date
November 18, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Omaha, NE
-
🧠 - Skills detailed
#PySpark #Agile #Informatica #Data Science #SQL (Structured Query Language) #RDBMS (Relational Database Management System) #Data Transformations #Model Optimization #SQL Server #Business Analysis #Data Processing #Python #"ETL (Extract #Transform #Load)" #Cloud #Databricks #Talend #SSIS (SQL Server Integration Services) #Oracle #Automation #Leadership #Stories #Data Access #Data Architecture #Debugging #Spark (Apache Spark) #Data Quality #Data Engineering #Data Integration #Data Accuracy #DevOps #Spark SQL #IICS (Informatica Intelligent Cloud Services) #Snowflake
Role description
Akkodis is seeking a Senior Data Engineer for a Contract to Hire (C2H) position, and this is a Hybrid role in Omaha, NE. Ideally, looking for applicants with a solid background in Data Engineering, Databricks, Python, PySpark, SQL, ETL, and Data Warehousing. Rate Range: $70 - $80 per hour. The rate may be negotiable based on experience, education, geographic location, and other factors. Position Overview: As a Senior Data Engineer, reporting to the Director of Information Technology, you will be responsible for leading and owning the Enterprise Data Platform and its data products. In today's data-driven world, Enterprise Data Products are an absolute necessity, streamlining the process of accessing crucial data, ensuring data accuracy and reliability, enabling efficient decision-making, and empowering teams across the organization to collaborate effectively. You will work with cross-functional Portfolio and Business Teams, ensuring data accessibility, quality, and efficient decision-making. You will be the subject matter expert and mentor for data-related activities, driving the success of our data initiatives. Key Responsibilities: • Lead the development and implementation of data-related features and stories within the Enterprise Data Platform. • Collaborate with data scientists, business analysts, and cross-functional teams to understand data requirements and priorities. • Break down complex data tasks into manageable chunks and assign tasks to team members for delivery. • Ensure high data quality standards and maintain the accuracy and reliability of data. • Create and manage data models, and validate them with key business representatives, data owners, data architects, and end-users. • Build automations to validate source-to-target data accuracy during build, testing, and support phases. • Identify and resolve data-related issues proactively or based on input from end-users. • Create complex and efficient SQL data transformations and views for various use cases. • Perform SQL performance tuning, including identifying and resolving performance bottlenecks, join optimization, data model optimization, and data pre-processing. • Oversee the creation of automated test cases to ensure data values are within expected ranges, complete, and within quality parameters. • Develop job schedules for data flows and ensure seamless data integration. • Mentor junior team members and offshore data engineers. • Operate within a DevOps framework for maintaining source control and deploying database objects; create automated test cases when checking in DB objects. • Ensure the health and quality of operational support provided by third-party services. Position Qualifications: • Bachelor's degree from an accredited university preferred or 8+ years of experience in an IT data-related role. • Ability to communicate effectively with analysts, offshore resources, and leadership; prior experience leading junior team members. • Demonstrated knowledge of business concepts and processes related to supported data domains. • Deep experience (5+ years) in writing and debugging complex SQL on RDBMS platforms like Snowflake, SQL Server, and Oracle. • Proficient in Python and PySpark for data processing and transformation. • Experience with DevOps frameworks and source control. • Proficient in using ETL tools like Informatica IICS, Talend, Data Services, and SSIS. • Experience with cloud-based technologies like Databricks, Snowflake, and Palantir. • Experience operating within an Agile framework to break down, estimate, assign, and complete work. If you are interested in this position, please click APPLY NOW. For other opportunities available at Akkodis, go to www.akkodis.com. If you have questions about the position, please contact Narendra Pratap at (213) 410-5211 or narendra.pratap@akkodis.com Equal Opportunity Employer/Veterans/Disabled Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy The Company will consider qualified applicants with arrest and conviction records.