Overview

Uturn Data Solutions is a technology services firm helping businesses achieve digital transformation through the use of cloud technologies. Recognized by Crain’s as one of Chicago’s fastest growing companies in 2024 (#9) and 2023 (#11), we are market leaders in leveraging the power of AWS to accelerate innovation, increase operational efficiency and help our clients future proof their businesses.

As one of the top AWS partners in the Midwest we specialize in AWS Migration, designing and implementing cloud native architectures, building analytics platforms and enabling automation through DevOps. An Advanced Tier AWS Consulting Partner and AWS Well Architected Partner, Uturn is headquartered in Chicago with offices in the River North neighborhood.

Uturn is looking for a savvy Data Engineer to join our growing team that will be responsible for expanding and optimizing our data and pipeline architecture and data flow and collection.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. In addition, the Data Engineer will collaborate and support software developers, implementation architects, and data engineers on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. In addition, they must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

If you are looking for the right opportunity to advance your career and want to work with a group of highly skilled, committed and energetic professionals to solve big challenges using cloud technology, this role is for you.

We are looking for sharp, disciplined, and self-motivated individuals who have a passion for utilizing cloud solutions to solve real world business challenges for our customers. In collaboration with other leaders in the firm, you will focus on designing, building, migrating and optimizing solutions leveraging AWS services.

What You’ll Do

• Process unstructured data into a form suitable for analysis.
• Support the business with ad hoc data analysis and build reliable data pipelines.
• Implementation of best practices and IT operations in mission-critical tighter SLA data pipelines using Airflow
• Query Engine Migration from Dremio to Redshift.
• We leverage: Multiple AWS Data & Analytic Services(e.g.,Glue, Kinesis, S3) , SQL (e.g., PostgreSQL, Redshift, Athena); NoSQL (e.g., DocumentDB, MongoDB); Kafka, Docker, Spark(AWS EMR and DataBricks), Airflow, Dremio, Qubole, etc.
• We use AWS extensively, so experience with AWS cloud and AWS Data & Analytics certification will help you hit the ground running.

Education

• Bachelor’s Degree strongly preferred
• Certifications related to cloud provider preferred

Experience

Business Skills

• Creative Problem-Solving: Approaching data organization challenges with a clear eye on what is important; employing the suitable approach/methods to make the maximum use of time and human resources.
• Effective Collaboration: Carefully listening to management, data engineers, and architects to establish their needs.
• Intellectual Curiosity: Exploring new territories and finding creative and pragmatic ways to solve data problems.
• Industry Knowledge: Understanding and perspective of how industry functions and how data can be collected, analyzed, and utilized for value creation; maintaining flexibility in the face of big data developments.

Technical Skills

• 3 to 5 years of real-world Data Engineering experience.
• Programming experience, ideally in Python and other data engineering languages like Scala
• Programming knowledge to clean structure and semi-structure datasets.
• Experience processing large amounts of structured and unstructured data. Streaming data experience is a plus.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
• Background in Linux
• Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources using SQL and other cloud ‘big data’ technologies like DataBricks, Snowflake, Dremio, and Qubole.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Experience creating a platform on which complex data pipelines are built using orchestration tools like Airflow, and Astronomer.
• Experience with real-time sync between OLTP and OLAP using AWS technologies like real-time sync between AWS Aurora and AWS Redshift

Benefits

Great benefits and perks including flexible hours, excellent medical, Dental/Vision, LTD/STD/AD&D/Life coverage, on-going training, 401k, River North location or home office, transit reimbursement, on-going technical training, and doughnuts, lots of doughnuts!

Uturn Data Solutions is a Chicago-based Advanced Tier AWS Consulting Partner focused on data strategy and AWS cloud adoption. We help commercial and public sector organizations leverage the AWS cloud to transform their data into real business value.

Qualified candidates can send their resume to careers@uturndata.com