Sr. Data Engineer at MeridianLink

United States

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The Senior Data Engineer will design, build, and maintain end‑to‑end ETL pipelines, manage Informatica data ingress/egress, craft complex SQL queries, and develop AI/ML tools to cleanse and transform data. The role evaluates and recommends data platform technologies, collaborates across engineering, data science, product, and business stakeholders, and enforces data governance, security, and compliance standards within a financial services context.

Requirements

Education

  • Bachelor's degree in computer science, engineering, or a related field
  • Master's degree in computer science, engineering, or a related field

Experience

  • 6-8 years of experience in data engineering focusing on financial systems on SaaS platforms
  • Experience with financial forecasting, risk analytics, and customer insights

Skills

  • Python
  • SQL
  • Informatica
  • Sigma
  • Apache Spark
  • Databricks
  • Snowflake
  • Redshift
  • BigQuery
  • AWS
  • Azure
  • Airflow
  • dbt
  • Delta
  • JSON
  • Parquet
  • Avro
  • Salesforce
  • Netsuite
  • Anaplan
  • ETL
  • Data Governance
  • Data Security
  • Data Modeling
  • Process Improvement
  • Leadership
  • Analytical Thinking
  • Problem Solving
  • Communication
  • Persuasion

Languages

  • English

Responsibilities

  • Design, build, and maintain data processing pipelines for ETL of diverse data sources
  • Create and monitor Informatica ingress and egress as the principal point of contact
  • Write complex SQL queries to support analytics needs
  • Develop technical tools leveraging AI, ML, and big‑data techniques for data cleansing and transformation
  • Evaluate and recommend tools and technologies for data infrastructure and processing
  • Collaborate with engineers, data scientists, analysts, product teams, and stakeholders to translate business requirements into technical specifications and coded data pipelines
  • Work with tools, languages, frameworks, and databases such as R, Python, SQL, Databricks, Informatica, Sigma, Spark, Delta, and APIs
  • Handle structured and unstructured data from data lakes, relational databases, and data warehouses

Technologies

PythonSQLInformaticaSigmaApache SparkDatabricksSnowflakeRedshiftBigQueryAWSAzureAirflowdbtDeltaJSONParquetAvroSalesforceNetsuiteAnaplan

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