Data & Analytics Engineer

About MojoTech

MojoTech is an innovative technology consulting firm that integrates strategy, design, data, and software engineering to create results-driven, AI-enabled, digital products and experiences.

We partner with our clients to discover, define, design, and build tomorrow’s innovations, empowering every company to unlock future market potential, maximize returns on innovation, and drive transformational change.
 

Role Overview: 

As a Data & Analytics Engineer with MojoTech you will work with our clients to solve complex problems and to deliver high quality solutions as part of a team. Collaborating with product managers, designers, and clients, you will lead discussions to define data requirements and deliver actionable insights and data pipelines to support client analytics needs. Your experience and level of confidence in decision making and the quality of your work ensure commitment to MojoTech's engineering excellence.

Experience:

• 3+ years of experience in Data Engineering, Data Science, Data Warehousing
• Strong experience in Python
• Experience building and maintaining ETL/ELT pipelines, data warehouses, or real-time analytics systems
• BA/BS in Computer Science, Data Science, Engineering, or a related field or equivalent experience in data engineering or analytics
• Track record of developing and optimizing scalable data solutions and larger-scale data initiatives
• Strong understanding of best practices in data management, including sustainment, governance, and compliance with data quality and security standards
• Commitment to continuous learning and sharing knowledge with the team

Desired Skills:

• Experience developing solutions using LLMs (RAG, Agents, etc...)
• Exposure to big data technologies like Hadoop, Kafka, or Flink for handling large-scale data processing.
• Experience with data visualization tools such as Tableau, Power BI, or Looker to communicate insights effectively.
• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) or statistical analysis for predictive analytics.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes in a data engineering context.
• Understanding of DevOps practices, including CI/CD pipelines and version control systems (e.g., Git).
• Previous work with real-time data streaming or event-driven architectures.
• Comfort collaborating with cross-functional teams, including data scientists, analysts, and software engineers.
• Experience one or more of the following: Palantir, Databricks, Snowflake, Apache Spark, Airflow, AWS Redshift, AWS Glue, Google BigQuery, Google Dataflow, PowerBI, etc...
• Exposure to leadership or mentorship roles, particularly on a development team
• Experience working in an agency, as a software consultant, or tailoring solutions to match client requirements and capability
• Strong communication skills to articulate technical concepts to technical and non-technical stakeholders
• Experience mentoring team members or leading small projects is a plus

Flexible Working Environment:

We offer a flexible working model, allowing employees to choose between remote work, on-site work in our offices located in Boulder, CO, and Providence, RI, or a hybrid of both. We also welcome candidates based in Phoenix, AZ as we continue to expand our presence in this area.

*This job is remote, but requires you to be located in one of the following states: RI, CO, AZ, CT, FL, MA, MD, ME, MO, NC, NH, NJ, NV, NY, OR, PA, SC, TN or UT. While the role is remote, preference will be given to candidates within commuting distance to our offices in Boulder, CO or Providence, RI.

Benefits:

• Base salary $90,000 - $150,000
• Medical, Dental, FSA
• 401k with up to 4% match
• Trust-based time off
• Catered lunches when in office
• Time for self-directed, non-client work
• Dog-friendly offices
• Remote or in office (offices in Boulder, CO and Providence, RI)
• Paid conference attendance/yearly education stipend
• Generous family leave policy

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