Data and Analytics Engineer

5 days ago

🏄 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

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MojoTech is a software development and design company that integrates strategy, engineering, and design to create results-driven digital products and experiences. They help businesses discover, define, design, and develop innovations with custom software tailored to meet ambitious goals. With a focus on product innovation, user-centric design, and advanced technologies like AI and ML, MojoTech serves various industries including finance, healthcare, retail, and energy, providing solutions that enhance outcomes and drive growth. As a fully US-based agency, they partner with disruptors and leaders to unlock market potential and foster transformational change.

Custom Software Development • Digital Product Engineering • UI/UX/CX Design • Data and Machine Learning • AI

51 - 200 employees

Founded 2008

💳 Fintech

🛍️ eCommerce

💰 Private Equity Round on 2022-10

📋 Description

• MojoTech is an innovative digital consulting company that creates results-driven digital products and experiences. • As a Data & Analytics Engineer, you will solve complex problems and deliver high-quality solutions. • Collaborate with product managers, designers, and clients to support client analytics needs.

🎯 Requirements

• 3+ years of experience in Data Engineering or Data Warehousing • 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 • Experience with data visualization tools such as Tableau, Power BI, or Looker • Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) • Familiarity with containerization and orchestration tools like Docker and Kubernetes • 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 with Palantir, Databricks, Snowflake, Apache Spark, Airflow, AWS Redshift, AWS Glue, Google BigQuery, Google Dataflow, PowerBI, etc. • Exposure to leadership or mentorship roles

🏖️ 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