Jobs · Information Technology · Washington

Manager, Data Engineering

Valorem Reply · Greater Seattle Area · 3 wk ago
HybridInformation TechnologyFull-time

About the role

Responsible for leading data engineering initiatives that drive business outcomes through advanced analytics and machine learning solutions. Collaborate with cross-functional teams to design, build, and maintain scalable data infrastructure.

Responsibilities

  • Develop and manage data pipelines using modern tools and technologies.
  • Design and implement data models to support decision-making processes.
  • Collaborate with stakeholders to understand business needs and translate them into technical solutions.
  • Ensure data quality and integrity across all systems.
  • Optimize data storage and processing for efficiency and scalability.
  • Stay updated on emerging trends in data engineering and apply them to improve processes and outcomes.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • Minimum 5 years of experience in data engineering roles.
  • Experience with big data technologies such as Hadoop, Spark, and Kafka.
  • Strong understanding of SQL and NoSQL databases.
  • Proficiency in Python, Java, or similar programming languages.
  • Experience with cloud platforms like AWS, Google Cloud, or Azure.
  • Excellent problem-solving and analytical skills.
  • Ability to work effectively in a fast-paced, dynamic environment.

Qualifications

  • Proven track record of delivering high-quality data engineering projects.
  • Experience with data warehousing and ETL processes.
  • Knowledge of data governance and compliance standards.
  • Experience with data visualization tools such as Tableau or PowerBI.
  • Experience with DevOps practices and CI/CD pipelines.

Skills

  • Data modeling and database design.
  • Data pipeline development and management.
  • Cloud computing and infrastructure services.
  • Big data technologies and tools.
  • Programming languages and frameworks.
  • Machine learning and AI applications.
  • Project management and team collaboration.

Benefits

  • Competitive salary commensurate with experience.
  • Flexible work schedule with hybrid options.
  • Health insurance coverage.
  • 401(k) retirement plan with company match.
  • Professional development opportunities.
  • Employee wellness programs.

Pay

Salary is competitive and commensurate with experience.

Schedule

Hybrid schedule available, combining remote and in-office work.

Similar jobs

Manager, Data Engineering

Capital Blue CrossHarrisburg, PA· 3 wk ago
Information Technologyapply on careers-capbluecross.icims.com

Manager, Data Engineering

Publicis Health MediaNew York, NY· 5 days ago
Information Technologyapply on careers.publicisgroupe.com

Manager, Data Engineering

Family DollarChesapeake, VA· 2 wk ago
Information Technology$112k–$126k/yrapply on careers.familydollar.com