Data & Analytics Engineer Providence, RI

Mojo Tech, established in 2008, is an innovative digital consulting company that integrates strategy, design, and engineering to create results-driven digital products and experiences for clients nationwide.

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. We work with a diverse client base, ranging from rapidly growing startups to established enterprises, helping them accelerate their pace of change and solve their biggest technology challenge

As a Data & Analytics Engineer with Mojo Tech 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 Mojo Tech's engineering excellence.

• 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

• 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., Tensor Flow, PyTorch) or statistical analysis for predictive analytics.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes in a data engineering context.
• Understanding of Dev Ops 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 Big Query, Google Dataflow, Power
  
  BI, 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
• Located in RI, MA, CT, NY, NJ, NC, SC, FL, CO, CA, UT, OR, PA, TN
• Base salary $90-150k, determined by experience, skills, and location
• Performance based end of year bonus
• 401k with 4% match
• Trust-based time off
• Catered lunches when in office
• 5 hours per week dedicated to self-directed learning, innovation projects, or skill development
• Dog Friendly Offices
• Remote or in office (offices in Boulder, CO and Providence, RI)
• Paid conference attendance/yearly education stipend