Senior Associate, Data Engineer

Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.

Job Summary:

New York Life Insurance Company is seeking a Senior Associate, Data Engineer to enhance their data management capabilities. The role involves designing and implementing data solutions, resolving discrepancies, and optimizing data processes while mentoring team members.

Responsibilities:

• Actively partner with Corporate Data Strategy and Governance and other corporate technology divisions to design and implement solutions to extract and integrate data to and from data warehouses, data marts, and data lakes to provide reports, decision support and driving insights.

• Identify, investigate, and resolve data discrepancies by finding the root cause of issues.

• Work with partners across various cross-functional teams to prevent future issue occurrences.

• Proactively look for opportunities to optimize the data loading structure and develop new approaches to improve the onboarding and integrity of the data.

• Provide basic reporting and respond to inquiries asking for insights about the data sets from stakeholders.

• Ensure that data is clean, consistent, and synchronized across platforms, and oversee the design and implementation of data cleansing procedures.

• Represent area on projects and be a key player in meetings with all levels of management.

• Act as a mentor to team members and the Foundational Business on all technical issues.

Qualifications:

Required:

• Bachelor’s degree in Information Science, Economics, Computer Science or related field (willing to accept foreign education equivalent)

• Two (2) years of experience as a Data Engineer, Database Manager, or related occupation interpreting, analyzing and building data products using SQL or Python to help in strategic decision making

• Utilizing SQL or Python to transform, manipulate and preprocess large datasets of structured and unstructured data from various sources to conduct data quality assurance, exploratory analysis and inform business decisions

• Utilizing Redshift, Hadoop, or Snowflake to design and optimize complex SQL queries in addition to maintaining and implementing data pipelines

• Utilizing Python, R or other statistical tools to manipulate large data sets, perform statistical analysis, transform datasets and design automated reports

• Sourcing and organizing data from multiple platforms or data sources for reporting and insights

• Performing root cause analysis and resolving performance bottlenecks

Company:

For over 175 years, we've been helping people put love into action. Founded in 1845, the company is headquartered in New York, New York, USA, with a team of 10001+ employees. The company is currently Late Stage. New York Life Insurance Company has a track record of offering H1B sponsorships.