Senior Data Engineer

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

• 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

Benefits

• Ongoing development: Continuous learning is essential to growth, and we’re committed to helping our employees thrive. You’ll have the opportunity to take part in job-specific training, monthly soft-skill sessions, and leadership classes designed to support your development at every stage.
• Access to executives: Have a good idea? Share it with peers, managers, or executives. Our leadership is approachable and actively involved in supporting your work.
• Health lifestyle: Healthy staff makes us happy. We support our team members with resources and programs that promote financial, physical, and mental health—encouraging balance, self-care, and a lifestyle that helps you feel your best every day.
• Celebrations: All work and no play makes for a dull day. We celebrate holidays, birthdays, work anniversaries, and other milestones with fun activities that bring us together. We also provide channels for employees to recognize and celebrate each other’s achievements, making appreciation a regular part of our culture.
• Community partnering: Take a day off with pay to volunteer where it matters most to you or join the company in various community service projects throughout the year.

Enforce high standards for data governance, quality, lineage, and complianceExperience working with structured and semi-structured data (e.g., Delta, JSON, Parquet, Avro) at scaleProven experience with cloud-based data platforms (preferably AWS or Azure)Hands-on experience with data orchestration tools (e.g., Airflow, dbt) and data warehouses (e.g., Databricks, Snowflake, Redshift, BigQuery)The role will include work on problems of diverse scopes where analysis of information requires evaluation of identifiable factors. Work is expected to be done independently through independent judgment6-8 years of experience in data engineering, with a strong focus on financial systems on SaaS platformsStrong understanding of data security, privacy, and compliance within a financial services contextAbility to enhance relationships and networks with senior internal partners who are not familiar with the subject often requires persuasionArchitect and scale our modern data platform to support real-time and batch processing for financial forecasting, risk analytics, and customer insightsWorking with people, processes facing Enterprise a plus, improvement of processes/reduction of costs in the enterprise processes leveraging data is preferablePrevious experience Democratizing data at scale for the enterprise a huge plusPartner with stakeholders across engineering, finance, sales, and compliance to translate business requirements into reliable data models and workflowsEvaluate emerging technologies and lead POCs that shape the future of our data stackChampion a culture of security, automation, and continuous delivery in all data workflowsDeep expertise in Python, SQL, and distributed processing frameworks like Apache Spark, Databricks, Snowflake, Redshift, BigQueryBachelor’s or master’s degree in computer science, Engineering, or a related fieldFamiliarity with modelling datasets in Salesforce, Netsuite and Anaplan to solve business use cases requiredAbility to assess unusual circumstances and use sophisticated analytical and problem-solving techniques to identify the cause