Senior Data Engineer

Base pay range

$/yr - $/yr

Akkodis is seeking a Sr. Data Engineer for Direct Hire/ Full Time position with our Direct Client located in Elkhorn, NE (Hybrid). The rate may be negotiable based on experience, education, geographic location, and other factors.

The primary responsibilities of a Data Engineer are to focus on building our data lake using Databricks, Synapse Analytics, and Azure Data Factory in the Azure ecosystem. In this role you will work with a team of developers, data product owners, scrum masters, business analysts, and business customers in an agile environment. You will participate in the entire software development lifecycle, including requirements gathering, translating business requirements into detailed system and technical requirements, functional and technical design, development, testing, deployment, and support.

You will contribute to all data management aspects, including data governance, data quality management, master data management, enterprise data integration by analyzing raw data, writing data pipelines in Azure Data Factory, SQL, Python, and Spark, and solving data issues as they arise during development and after deployment.

• Design, develop and implement scalable batch/real‑time data pipelines to integrate data from a variety of sources into an Azure data warehouse and data lake
• Partner with analytics and actuarial team to understand the current use cases and supply clean and consistent data models
• Build consistent data models that act as the source of truth for all metrics within the company
• Identify data needs & build comprehensive business intelligence solutions to help the team make faster & better decisions, backed by data
• Handle ad‑hoc data and analytics requests, while addressing long‑term stakeholder needs and driving insights for the executive leadership team
• Proactively manage stakeholder expectations, monitor and manage data integrity, and resolve data issues
• Create and maintain technical documentation.
• Guide and deliver meaningful and thorough code reviews.
• Design, code, test, document, and troubleshoot deliverables
• Maintain awareness of and ensure adherence to the standards regarding security and privacy.
• Ability to perform Data Analysis and Data Quality tests and create audits for the ETLs.
• Perform Continuous Integration and deployment using Azure Dev Ops and git
• Must be a very good communicator and should be analytically sound
• Create and maintain optimal data pipeline/flow architecture.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re‑designing infrastructure for greater scalability, etc.

Azure Databricks, Azure Data Factory, Python, Py Spark

Education:

• Bachelor’s degree or equivalent work experience required.

Experience:

• Experience/familiarity with tools like Azure Databricks, Azure Synapse Analytics and Azure Data Factory, Delta Lake, Parquet, and Spark SQL
• Experience with Data Lakes, Data Warehouse Concepts, and Dimensional Data Models.
• Experience with Tableau, Power BI, Qlik or similar as visualization tool development
• Experience building and maintaining production data pipelines, ETL, or databases
• Good written and verbal communication skills
• Experience in SQL – Python, Powershell and Spark helpful but not necessary
• Experience working with Microsoft BI stack (SSIS/SSRS/SSAS) and Microsoft SQL Server.

For other opportunities or questions, please contact Ayush Garg at 610‑735‑6513 or

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 401(k) 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 which are direct hire to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit

The Company will consider qualified applicants with arrest and conviction records.

Mid‑Senior level

Full‑time

Distribution

IT Services and IT Consulting