Sr. Data Engineer - Remote

Who is Trace3?

Trace3 is a leading Transformative IT Authority, providing unique technology solutions and consulting services to our clients. Equipped with elite engineering and dynamic innovation, we empower IT executives and their organizations to achieve competitive advantage through a process of Integrate, Automate, Innovate.

Our culture at Trace3 embodies the spirit of a startup with the advantage of a scalable business. Employees can grow their career and have fun while doing it!

Trace3 is headquartered in Irvine, California. We employ more than 1,200 people all over the United States. Our major field office locations include Denver, Indianapolis, Grand Rapids, Lexington, Los Angeles, Louisville, Texas, San Francisco.  

Ready to discover the possibilities that live in technology?

 

Come Join Us!

Street-Smart - Thriving in Dynamic Times

We are flexible and resilient in a fast-changing environment. We continuously innovate and drive constructive change while keeping a focus on the “big picture.” We exercise sound business judgment in making high-quality decisions in a timely and cost-effective manner. We are highly creative and can dig deep within ourselves to find positive solutions to different problems.

Juice - The “Stuff” it takes to be a Needle Mover

We get things done and drive results. We lead without a title, empowering others through a can-do attitude. We look forward to the goal, mentally mapping out every checkpoint on the pathway to success, and visualizing what the final destination looks and feels like.

Teamwork - Humble, Hungry and Smart

We are humble individuals who understand how our job impacts the company's mission. We treat others with respect, admit mistakes, give credit where it’s due and demonstrate transparency. We “bring the weather” by exhibiting positive leadership and solution-focused thinking. We hug people in their trials, struggles, and failures – not just their success. We appreciate the individuality of the people around us.

 

Who We’re Looking For:

We’re looking to add a Senior Data Integration Engineer with a strong background in data engineering and development.  You will work with a team of software and data engineers to build client-facing data-first solutions utilizing data technologies such as SQL Server and MongoDB. You will develop data pipelines to transform/wrangle/integrate the data into different data zones.

To be successful in this role, you will need to hold extensive knowledge of SQL, relational databases, ETL pipelines, and big data fundamentals.  You will also need to possess strong experience in the development and consumption of RESTful APIs.  The ideal candidate will also be a strong independent worker and learner.

 

What You’ll Be Doing

• Develop processes and data models for consuming large quantities of 3rd party vendor data via RESTful APIs.
• Develop data processing pipelines to analyze, transform, and migrate data between applications and systems.
• Analyze data from multiple sources and negotiate differences in storage schema using the ETL process.
• Develop APIs for external consumption by partners and customers.
• Develop and support our ETL environment by recommending improvements, monitoring, and deploying quality and validation processes to ensure accuracy and integrity of data.
• Design, develop, test, deploy, maintain, and improve data integration pipelines.
• Create technical solutions that solve business problems and are well engineered, operable, and maintainable.
• Design and implement tools to detect data anomalies (observability). Ensure that data is accurate, complete, and high quality across all platforms.
• Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues.
• Assembles large and complex data sets; develops data models based on specifications using structured data sets.
• Develops familiarity with emerging and complex automations and technologies that support business processes.
• Develops scalable and re-usable frameworks for ingestion and transformation of large datasets.
• Work within an Agile delivery / DevOps methodology to deliver product increments in iterative sprints.
• Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues.
• Develop data models and mappings and build new data assets required by users. Perform exploratory data analysis on existing products and datasets.
• Identifying, designing, and i