Senior Data Engineer
@ Jobgether

Hybrid
$120,000
Hybrid
Full Time
Posted 1 month ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXXXX******* @2ndwatch.com
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Job Details

Senior Data Engineer at 2nd Watch

This role, posted by Jobgether on behalf of 2nd Watch, seeks an experienced data engineering professional to design, develop, and optimize modern data platforms that empower data-driven decision-making.

Key Responsibilities

  • Lead discovery sessions with clients to extract requirements.
  • Design, build, and optimize data pipelines for batch and streaming data.
  • Implement secure and scalable data storage solutions.
  • Develop testing processes, automate workflows, and produce technical documentation.
  • Contribute to pre-sales activities and knowledge sharing initiatives.

Required Skills and Experience

  • 5–9 years experience in data engineering and database architecture.
  • Expertise in relational databases, SQL and data integration.
  • Proficiency with cloud platforms such as AWS, GCP, or Azure.
  • Hands-on experience with ETL tools and data warehousing technologies.
  • Familiarity with visualization tools and container technologies like Docker and Kubernetes.

Desirable Extras

  • Certifications in cloud/data technologies.
  • Experience with AI/ML integration or legacy systems such as Hadoop.

Benefits

  • Competitive salary with performance-based incentives.
  • Fully remote-first work environment with flexible schedules.
  • Comprehensive healthcare, dental, vision, and retirement plans.
  • Generous paid time off and professional growth opportunities.

Key Skills/Competency

Senior Data Engineer, data pipelines, cloud, SQL, ETL, AWS, GCP, Azure, data warehousing, visualization

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How to Get Hired at Jobgether

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data engineering projects and cloud skills.
  • Research 2nd Watch: Understand their data and cloud solutions.
  • Practice technical interviews: Prepare for SQL and pipeline design questions.
  • Showcase client work: Emphasize client-facing communication.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and data pipeline design.
Study AWS, GCP, Azure fundamentals.
Practice ETL tool and cloud certification.
Refresh skills in containerization tools.

Behavioral Questions

Describe a challenging client project.
Explain team collaboration on data solutions.
Tell about handling project deadlines.
Discuss adapting under pressure.

Frequently Asked Questions