NinjaOne

Data Engineer

NinjaOne

full-time

Posted on:

Location Type: Hybrid

Location: California, Colorado, Connecticut, Florida, Illinois, Kansas, Maine, Maryland, Massachusetts, New Jersey, New York, North Carolina, Oregon, Tennessee, Texas, Virginia, Washington • 🇺🇸 United States

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Salary

💰 $90,000 - $170,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AirflowAmazon RedshiftAWSAzureBigQueryCassandraCloudGoogle Cloud PlatformKafkaMongoDBMySQLNoSQLPostgresPythonSQLTableau

About the role

  • Design and implement scalable data pipelines that move and transform large volumes of data from multiple sources to central data warehouses.
  • Manage and optimize the performance of relational databases, ensuring data availability, reliability, and consistency.
  • Automate and optimize data workflows to reduce manual processes and improve efficiency in data collection, storage, and processing.
  • Ensure the integrity and security of data across systems, monitor performance, and troubleshoot any issues that arise within the data pipeline.
  • Build dashboards and reports in Tableau and Databricks to expose key data points and trends to business stakeholders.
  • Work closely with data scientists, analysts, and other teams to gather requirements, understand data needs, and provide solutions that support data-driven decision-making.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Information Technology or equivalent work experience preferred.
  • 3 + years of experience in software development, with a strong focus on data engineering and data science.
  • Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python.
  • Proficiency in cloud platforms like AWS, GCP, or Azure, and experience with tools like Airflow, Kafka or dbt for orchestrating data workflows.
  • Experience with both relational databases including MySQL, PostgreSQL and NoSQL databases like MongoDB, Cassandra.
  • Experience with data warehousing concepts and tools such as Redshift, BigQuery, Snowflake.
Benefits
  • medical, dental, and vision insurance
  • 401(k) plan
  • unlimited PTO

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data pipelinesdata engineeringdata scienceSQLPythonrelational databasesNoSQL databasesdata warehousingdata workflowsdata processing
Soft skills
collaborationproblem-solvingcommunicationrequirements gatheringdata-driven decision-making