Senior Data Engineer — Real-Time Data Platform & AI

MeridianLink, Inc.; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Ongoing development programs

Access to executives

Health lifestyle initiatives

Celebrations and team events

Community partnering and volunteer day

Job summary

MeridianLink, Inc. is seeking a Senior Data Engineer to design, build, and maintain data pipelines for ETL from diverse sources. You will lead complex SQL development to support analytics and collaborate across engineering, data science, and product teams.

The role emphasizes scalable data architectures, governance, and security, with hands-on work on Python, Spark, and cloud platforms like AWS or Azure. You will champion automation and continuous delivery across data workflows.

Qualifications

• Experience designing and maintaining ETL pipelines at scale.
• Proven ability to translate business requirements into data models.
• Strong knowledge of data governance, quality, and security.

Responsibilities

• Enforce high standards for data governance, quality, lineage, and compliance.
• Architect and scale our modern data platform to support real-time and batch processing for financial forecasting, risk analytics, and customer insights.
• Partner with stakeholders across engineering, finance, sales, and compliance to translate business requirements into reliable data models and workflows.

Skills

ETL pipelines

SQL queries

Python

Spark

Databricks

Airflow

dbt

APIs

Data governance

Data security

Education

Bachelor’s or master’s degree in Computer Science, Engineering, or related field

Tools

Databricks

Snowflake

Redshift

BigQuery

Airflow

dbt

Spark

Delta

APIs

Job description

MeridianLink, Inc. is seeking a Senior Data Engineer to design, build, and maintain data pipelines for ETL from diverse sources. You will lead complex SQL development to support analytics and collaborate across engineering, data science, and product teams.

The role emphasizes scalable data architectures, governance, and security, with hands-on work on Python, Spark, and cloud platforms like AWS or Azure. You will champion automation and continuous delivery across data workflows.