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MeridianLink · 5 hours ago

Sr. Data Engineer

United States

Full-time

Remote

Senior Level

6+ years exp

MeridianLink is a company seeking a Senior Data Engineer who will design, build, implement, and maintain data processing pipelines for ETL from various data sources. The role focuses on developing scalable solutions for data analysis and collaborating with cross-functional teams to meet business requirements.

BankingFinancial ServicesFinTechInformation Technology

H1B Sponsor Likely

Responsibilities

Senior Data Engineers will design, build, implement, and maintain data processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of data sources

Expected to lead the writing of complex SQL queries to support analytics needs

Responsible for developing technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis

Senior Data Engineers will evaluate and recommend tools and technologies for data infrastructure and processing

Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines

The role will work with tools, languages, data processing frameworks, and databases such as R, Python, SQL, Databricks, Spark, Delta, APIs

Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses

Ability to assess unusual circumstances and use sophisticated analytical and problem-solving techniques to identify the cause

Working with people, processes facing Enterprise a plus, improvement of processes/reduction of costs in the enterprise processes leveraging data is preferable

Ability to enhance relationships and networks with senior internal partners who are not familiar with the subject often requires persuasion

Architect and scale our modern data platform to support real-time and batch processing for financial forecasting, risk analytics, and customer insights

Enforce high standards for data governance, quality, lineage, and compliance

Partner with stakeholders across engineering, finance, sales, and compliance to translate business requirements into reliable data models and workflows

Evaluate emerging technologies and lead POCs that shape the future of our data stack

Champion a culture of security, automation, and continuous delivery in all data workflows

Qualification

PythonSQLApache SparkCloud-based data platformsData orchestration toolsData governanceData securityStructured dataStakeholder collaborationContinuous deliveryProblem-solvingRelationship building

Required