200+ applicants

Company

Original Job Post

Harness · 4 days ago

Senior Data Engineer

Mountain View, CA

Full-time

Hybrid

Senior Level

$145K/yr - $185K/yr

3+ years exp

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Responsibilities

Design, build, and maintain scalable data pipelines and infrastructure to support data ingestion, processing, and storage.

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and develop solutions to meet business needs.

Implement data quality checks and ensure data integrity and reliability throughout the data lifecycle.

Optimize and tune data pipelines for performance and efficiency.

Troubleshoot and debug data-related issues, and provide timely resolution.

Stay updated with the latest technologies and best practices in data engineering and apply them to improve existing systems.

Document data architecture, processes, and workflows.

Provide support and guidance to junior members of the team.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data WarehousingETL/ELT ProcessesData ModelingProgramming Languages PythonProgramming Languages JavaProgramming Languages ScalaBig Data Technologies BigQueryBig Data Technologies SparkBig Data Technologies KafkaBig Data Technologies DBTBig Data Technologies SQLMeshCloud Platforms AWSCloud Platforms AzureCloud Platforms Google CloudSQLRelational DatabasesNoSQL DatabasesData Visualization Tools TableauData Visualization Tools Power BIData Visualization Tools LookerProblem-SolvingAnalyticalCommunicationCollaborationContainerizationOrchestrationDockerKubernetesMachine LearningDevOps

Required

Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred.

3+ yrs of proven experience as a data engineer or similar role, with a strong background in data warehousing, ETL/ELT processes, and data modeling.

Proficiency in programming languages such as Python, Java, or Scala.

Experience with big data technologies such as BigQuery, Spark, Kafka, DBT, SQLMesh etc.

Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.

Strong SQL skills and experience working with relational and NoSQL databases.

Familiarity with data visualization tools such as Tableau, Power BI, or Looker.

Excellent problem-solving and analytical skills.

Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred

Experience with containerization and orchestration tools such as Docker and Kubernetes.

Knowledge of machine learning techniques and frameworks.

Experience with DevOps practices and tools for CI/CD.

Benefits

Comprehensive healthcare benefits

Flexible Spending Account (FSA)

Flexible work schedule

Employee Assistance Program (EAP)

Flexible Time Off and Parental Leave

Monthly, quarterly, and annual social and team building events

Monthly internet reimbursement

Company

Harness

Glassdoor

3.7

Harness is a Continuous Delivery-as-a-Service platform for engineering and DevOps teams to release applications into production.

Founded in 2016

San Francisco, California, USA

501-1,000 employees

http://harness.io

H1B Sponsorship

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Trends of Total Sponsorships

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2020 (17)