Overview:
MojoTech established in 2008 is an innovative digital consulting company that integrates strategy design and engineering to create resultsdriven digital products and experiences for clients nationwide.
What we do:
We partner with our clients to discover define design and build tomorrows 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
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 MojoTechs engineering excellence.
Things were looking for:
- 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 realtime 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 largerscale 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
Should also be able to check off some of this:
- Experience developing solutions using LLMs (RAG Agents etc...
- Exposure to big data technologies like Hadoop Kafka or Flink for handling largescale 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 realtime data streaming or eventdriven architectures.
- Comfort collaborating with crossfunctional 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 nontechnical 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 OH
Benefits:
- Base salary $90150k determined by experience skills and location
- Performance based end of year bonus
- Medical Dental FSA
- 401k with 4 match
- Trustbased time off
- Catered lunches when in office
- 5 hours per week dedicated to selfdirected 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
- Custom workstation
- 6 weeks parental leave
Required Experience:
Senior IC