Data Engineer

Catalyst Atlantic LLC; Saint Paul (MN); On-site; USD 100,000 - 142,000; Full time

Job summary

Catalyst Atlantic LLC, a Saint Paul, MN-based software development firm, seeks a full-time Data Engineer to design, build, and advance our data-driven initiatives. The role focuses on robust data pipelines, ETL processes, and data warehousing, with collaboration across developers, data scientists, and project managers.

You will work in a Saint Paul office with a strong data engineering focus, leveraging SQL, Python, and big data tools like Hadoop or Spark, and cloud familiarity with AWS or

Qualifications

• Strong data engineering background with focus on pipelines and warehousing.
• Proficient in SQL and Python; experience with big data tools is a plus.
• Experience with cloud platforms (AWS/Azure) and ETL processes.

Responsibilities

• Design, build, and maintain data infrastructure and pipelines.
• Collaborate with developers and data scientists on data needs.
• Conduct data analysis and visualization as part of data initiatives.
• Ensure data quality, governance, and timely delivery.

Skills

SQL

Python

Data pipelines

ETL

Data warehousing

Cloud platforms

Big data

Tools

Hadoop

Spark

AWS

Azure

Job description

Catalyst Atlantic LLC, a Saint Paul, MN-based software development firm, seeks a full-time Data Engineer to and advance our data-driven initiatives.

As a Data Engineer, you'll design, build, and maintain our data infrastructure, collaborate with the development team on robust and efficient data pipelines, and participate in data analysis and visualization projects.

You'll work in a collaborative Saint Paul office environment alongside software developers, data scientists, and project managers in an open-office layout.

The annual compensation for this position ranges from $100,000 to $141,874, inclusive of various benefits. Employees in this role are typically responsible for managing and executing specific projects, which may involve coordinating with cross-functional teams, utilizing industry-standard software and tools, and ensuring that all tasks are completed within set deadlines and budget constraints. The workplace is usually a traditional office environment, although remote work options may be available depending on the company's policies and the specific needs of the role. Applicants should have a relevant degree or equivalent experience, along with proficiency in relevant software and tools, strong communication skills, and the ability to work well under pressure.

You should have a strong data engineering background, experience with data pipelines, ETL processes, and data warehousing, proficiency in SQL, Python, and big data technologies like Hadoop or Spark, and familiarity with cloud platforms like AWS or Azure.

• Designing and maintaining data infrastructure, building and optimizing data pipelines, collaborating with development team, conducting data analysis and visualizationStrong background in data engineering, experience in designing and implementing data pipelines, ETL processes, and data warehousing, proficiency in SQL, Python, and big data technologies like Hadoop or Spark