Ascent Funding - San Diego, CA

posted 2 months ago

Full-time - Mid Level
San Diego, CA
Credit Intermediation and Related Activities

About the position

Ascent Funding, LLC is seeking a highly skilled Staff Data Engineer to join our dynamic team in San Diego, CA. This position is pivotal in enhancing our data infrastructure and ensuring the seamless integration of data across various platforms. The ideal candidate will possess a strong background in data engineering, with a focus on building and optimizing data pipelines, as well as ensuring data quality and accessibility for analytics and reporting purposes. The Staff Data Engineer will work closely with data scientists, analysts, and other stakeholders to understand their data needs and provide solutions that drive business insights and decision-making. In this role, you will be responsible for designing, developing, and maintaining scalable data architectures that support our growing data needs. You will leverage your expertise in programming languages such as Python, Java, or Scala, and utilize big data technologies like Hadoop, Spark, and cloud-based solutions to build robust data solutions. Additionally, you will implement best practices for data governance and security, ensuring compliance with industry standards and regulations. The Staff Data Engineer will also play a key role in mentoring junior team members, sharing knowledge, and fostering a collaborative environment. You will be expected to stay current with emerging technologies and trends in data engineering, continuously seeking opportunities to improve our data processes and systems. This position offers a unique opportunity to make a significant impact on our data strategy and contribute to the overall success of Ascent Funding, LLC.

Responsibilities

  • Design and develop scalable data architectures to support business needs.
  • Build and optimize data pipelines for data ingestion and processing.
  • Ensure data quality and accessibility for analytics and reporting.
  • Collaborate with data scientists and analysts to understand data requirements.
  • Implement best practices for data governance and security.
  • Mentor junior data engineering team members.
  • Stay current with emerging technologies and trends in data engineering.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in data engineering or a related field.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with big data technologies like Hadoop and Spark.
  • Familiarity with cloud-based data solutions (e.g., AWS, Azure).
  • Strong understanding of data modeling and database design principles.
  • Excellent problem-solving skills and attention to detail.

Nice-to-haves

  • Experience with data visualization tools such as Tableau or Power BI.
  • Knowledge of machine learning concepts and frameworks.
  • Familiarity with data warehousing solutions.
  • Experience in financial services or capital markets.

Benefits

  • Competitive salary range of $160,451 - $175,000 per year.
  • Comprehensive health insurance coverage.
  • 401(k) retirement savings plan with company matching.
  • Paid time off and holidays.
  • Opportunities for professional development and training.
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