Data and Analytics Engineer

Job not on LinkedIn

April 4

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

+13 more states

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote ⛷️ Utah – Remote

💵 $90k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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MojoTech

WebsiteLinkedInAll Job Openings

SaaS • Artificial Intelligence • Fintech

MojoTech is a US-based software development and design company that specializes in creating strategy-driven digital products and experiences. The company focuses on product innovation and strategy to help businesses adapt to the rapidly evolving marketplaces by integrating cutting-edge technologies such as artificial intelligence and machine learning. MojoTech provides a range of services including product design, software development, and AI consulting, with expertise in sectors like finance, healthcare, energy, retail, and more. They emphasize user-centric design and the development of functional digital interfaces and applications that solve business challenges and drive user engagement. Their comprehensive approach includes strategy acceleration and product development leading to impactful and measurable outcomes for businesses.

51 - 200 employees

☁️ SaaS

🤖 Artificial Intelligence

💳 Fintech

📋 Description

• MojoTech is an innovative digital consulting company. • As a Data & Analytics Engineer, you will solve complex problems for clients. • Collaborate to define data requirements and deliver actionable insights. • Ensure commitment to engineering excellence through quality work.

🎯 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 • 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

🏖️ Benefits

• 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