Data Engineer

Sorry, this job was removed at 08:48 p.m. (UTC) on Thursday, Oct 08, 2026
Hiring Remotely in United States
Remote
Mid level
Artificial Intelligence • Information Technology • Professional Services • Analytics
The Role
Design, build, and optimize scalable data pipelines, warehouses, lakes, and processing systems for analytics and business intelligence. Ensure data quality, security, reliability, and cost efficiency while collaborating with data scientists, analysts, and engineers. Maintain technical documentation, support Databricks solutions, and apply emerging data engineering technologies. The role requires strong programming, SQL, ETL, orchestration, data modeling, cloud, and big data expertise.
Summary Generated by Built In

Description

Entrada AI, Inc. is looking for a highly skilled Data Engineer to join our growing team of consultants. In this role, you will be responsible for designing, constructing, and optimizing large-scale data processing systems that enable advanced analytics and business intelligence. You will collaborate closely with data scientists, analysts, and other engineers to ensure the availability, reliability, and efficiency of our client’s Databricks solution.

Key Responsibilities

  • Design, develop, and maintain scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.

  • Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.

  • Optimize data architectures and workflows for performance, scalability, and cost-efficiency.

  • Collaborate with data scientists and analysts to understand data requirements and ensure that data systems meet their needs.

  • Ensure data quality, integrity, and security by implementing best practices in data governance and management.

  • Develop and maintain documentation for data systems, including data models, flow diagrams, and operational procedures.

  • Stay current with emerging technologies and trends in data engineering, and apply them to improve existing systems.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.

  • 3+ years of experience in data engineering or related fields, with a focus on large-scale data systems

  • 2+ years of experience with Databricks

  • Proficiency in SQL and experience with databases such as MySQL, PostgreSQL, or NoSQL databases

  • Strong programming skills in languages such as Python, Java, or Scala.

  • Experience with ETL tools and frameworks and data pipeline orchestration.

  • Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure).

  • Strong understanding of data warehousing concepts, data modeling, and schema design.

  • Excellent problem-solving skills and attention to detail.

  • Strong communication skills and ability to work effectively in a team-oriented environment.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field
  • 3+ years of experience in data engineering or related fields, focused on large-scale data systems
  • 2+ years of experience with Databricks
  • Proficiency in SQL and experience with MySQL, PostgreSQL, or NoSQL databases
  • Strong programming skills in Python, Java, or Scala
  • Experience with ETL tools, frameworks, and data pipeline orchestration
  • Familiarity with Hadoop, Spark, Kafka, and cloud platforms such as AWS, GCP, or Azure
  • Strong understanding of data warehousing, data modeling, and schema design
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to work effectively in a team-oriented environment

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The Company
60 Employees
Year Founded: 2023

What We Do

Entrada is a global Databricks-focused data and AI consulting and implementation partner. It helps organizations modernize data platforms and turn trusted data into business outcomes, offering data engineering, strategy and governance, migrations, AI/ML, analytics, concierge support, and training. Its teams work with clients from early data-platform migration through advanced use cases and production data products, tailoring solutions to industry needs and business results.

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