Data & Analytics Engineer

Role Overview

As a Data & Analytics Engineer at MojoTech, you’ll collaborate with product managers, designers, and clients to solve complex problems and deliver high-quality data solutions. You’ll lead discussions to define data requirements, build data pipelines, and provide actionable insights to support client analytics needs.

Responsibilities

• Define data requirements with cross-functional partners and clients
• Build and deliver data pipelines and actionable insights
• Develop and optimize scalable data solutions and large-scale data initiatives
• Implement and maintain data warehouses and/or real-time analytics systems
• Apply best practices for data management, including governance, sustainment, and compliance
• Ensure data quality and security standards are met
• Share knowledge and continuously improve engineering practices

Requirements

• 3+ years of experience in Data Engineering / Data Science / Data Warehousing
• Strong experience building with Python
• Experience building and maintaining ETL/ELT pipelines, data warehouses, or real-time analytics
• BS/BA in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
• Track record of developing and optimizing scalable data systems

Desired Skills / Nice to Have

• Experience developing solutions using LLMs (e.g., RAG, agents)
• Exposure to big data technologies such as Hadoop, Kafka, or Flink
• Data visualization tools: Tableau, Power BI, or Looker
• Machine learning/statistical analysis experience (e.g., TensorFlow, PyTorch) for predictive analytics
• Familiarity with Docker and Kubernetes
• Understanding DevOps, including CI/CD and Git
• Real-time streaming / event-driven architectures
• Experience with platforms such as Palantir, Databricks, Snowflake, Apache Spark, Airflow, AWS Redshift/Glue, Google BigQuery/Dataflow
• Leadership/mentorship experience
• Agency/consulting experience tailoring solutions to client needs
• Strong communication with technical and non-technical stakeholders

Working Model & Location

• Flexible model: remote, on-site (Boulder, CO / Providence, RI), or hybrid
• Remote role requires you to be located in: RI, CO, AZ, CT, FL, MA, MD, ME, MO, NC, NH, NJ, NV, NY, OR, PA, SC, TN, UT
• Preference for candidates within commuting distance of 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)
• Education stipend and paid conference attendance
• Generous family leave policy
• Dog-friendly offices; remote or in-office options