Senior Data Engineer (m/w/d)

We are looking for a Senior Data Engineer who will work on building and managing Big Data Pipelines for us to deal with the huge, structured data sets that we use as an input to accurately generate analytics at scale for our valued Customers. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.

Responsibilities

• Collaborate closely with Product Management and Engineering leadership to devise and build the right scalable solutions.
• Participate in Design discussions and brainstorming sessions to select, integrate, and maintain Big Data tools and frameworks required to solve Big Data problems.
• Design and implement systems to cleanse, process, and analyze large data sets using distributed processing tools like Spark and Airflow.
• Understand and critically review existing data pipelines, and come up with ideas in collaboration with Technical Leaders and Architects to improve upon current bottlenecks.
• Take initiative and develop new systems or refinements proactively, and work as a Senior Individual contributor on the multiple products and features we have.

Required Qualifications

• 5+ years of experience in developing highly scalable Big Data pipelines.
• In-depth understanding of the Big Data ecosystem including processing frameworks like Spark, Hadoop or Flink, and the file types they deal with.
• Experience with ETL and Data pipeline tools like Snowflake, Airflow, Kafka etc.
• Excellent coding skills in Python, Java or Scala, including the understanding to apply appropriate Design Patterns when required.
• Experience with Git and build tools like Gradle/Maven/SBT.
• Experience with data warehouse and BI solutions is preferable.
• Strong understanding of object-oriented design, data structures, algorithms, profiling, and optimization.
• Have elegant, readable, maintainable, and extensible code style.

Your Location

Because much of the team is based in Denver, CO, it is preferred that the selected candidate be located in the Denver area but it is not required. The role will include occasional work at a GridX Industrious shared office or attendance at offsites and/or customer sites, as determined by your role’s responsibilities and agreed to with your manager.

Our Interview Process

Intro Call (20-30 minutes)

Interview #1 In Depth Technical Discussion with Sr. Data Engineer (45-60 minutes)

Interview #2 In Depth Technical Discussion with Lead Data Engineer (45-60 minutes)

Interview #3 In Depth Technical Discussion with Hiring Manager (30-45 minutes)

We expect this position to be filled by April 1, 2025

Benefits

• Flexible PTO
• Excellent Medical, Dental and Vision Insurance
• 401k Match
• Stock Options
• Parental Leave
• Be part of creating our clean energy future

Our Values

Our values are closely-held beliefs designed to drive the right actions and the right decisions that are authentic to GridX. We expect results delivered in a way consistent with GridX values. In exchange, we reward high performance. We:

• eXecute on big goals - We are owners, taking responsibility for achieving results. We think long-term, sweat the details, and use resources wisely.
• eXcel together - Collaboration and camaraderie are at our core. We cheer for and challenge each other to be our best. We win together.
• eXemplify success - We do the right thing and act with integrity, even when no one is looking. We prove that it’s possible to do well by doing good.
• eXplore the possible - Everyone is empowered to innovate, fail and iterate in delivering our clean energy future. Consistent progress is our default.