Data & Analytics Engineer Job at MojoTech

Job Description

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.

Job Responsibility

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

Requirements

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

Nice to have

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
Located in RI, MA, CT, NY, NJ, NC, SC, FL, CO, CA, UT, OR, PA, TN

What we offer

Performance based end of year bonus
Medical, Dental, FSA
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
Paid conference attendance/yearly education stipend
Custom workstation
6 weeks parental leave

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Data & Analytics Engineer

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