Senior Data Engineer

Data
25 October 2024
$150000 - $170000 / year
Hybrid

Job Description

A leading fintech company in Washington is seeking a Senior Data Engineer to lead the design and development of large-scale data processing systems that power their financial platforms. You will work in a hybrid model, spending part of your time collaborating with cross-functional teams on-site while enjoying remote flexibility. This is a critical role in ensuring data is stored, processed, and delivered efficiently and securely.

Required Skills & Experience

  • 6+ years of experience in data engineering, with a focus on building large-scale data pipelines.
  • Expertise in Apache Spark, Kafka, and Airflow for managing big data workflows.
  • Strong experience in SQL, Python, and Scala for data manipulation and transformation.
  • In-depth knowledge of data lakes and cloud storage solutions, such as AWS S3 or Azure Data Lake.
  • Familiarity with data warehousing tools like Amazon Redshift, Google BigQuery, or Snowflake.

Daily Responsibilities

  • Design, develop, and maintain robust ETL pipelines using Spark and Kafka to process massive data volumes.
  • Collaborate with data scientists, machine learning engineers, and product teams to ensure the right data is available for analysis and reporting.
  • Implement best practices for data management, security, and governance in compliance with industry standards.
  • Monitor and optimize performance across the data pipeline, ensuring scalability and efficiency.

The Offer

  • Full-time hybrid role with a salary range of $150k – $170k/year, depending on experience.
  • Benefits include health insurance, retirement plans with matching contributions, paid time off, and performance bonuses.
  • The company offers opportunities for professional growth, including leadership development programs and certifications.

Note: Candidates must be authorized to work in the US without sponsorship.

Location

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