Data Engineer

About The Company

MeridianLink is a leading provider of innovative financial technology solutions dedicated to empowering financial institutions through advanced data management and automation. With a commitment to fostering a collaborative and inclusive work environment, MeridianLink values integrity, innovation, and excellence. The company prides itself on developing scalable, secure, and reliable platforms that enable clients to streamline their operations, enhance customer experiences, and stay ahead in a competitive landscape. MeridianLink’s culture emphasizes professional growth, work-life balance, and a strong commitment to diversity and inclusion, making it an ideal place for talented professionals to thrive and contribute to impactful projects.

About The Role

The Principal Data Engineer at MeridianLink will play a pivotal role in designing, developing, and maintaining sophisticated data processing pipelines that support our enterprise data infrastructure. This position involves leading efforts to extract, transform, and load (ETL) data from diverse sources, ensuring data quality, security, and accessibility for analytical and operational use. The role requires a strategic thinker with advanced technical expertise in big data frameworks, cloud platforms, and data governance. The Principal Data Engineer will collaborate with cross-functional teams including data scientists, analysts, product managers, and engineers to translate complex business requirements into scalable and efficient data solutions. The ideal candidate will be passionate about leveraging emerging technologies such as artificial intelligence and machine learning to optimize data workflows and enhance decision-making capabilities across the organization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 6-8 years of experience in data engineering, particularly within financial services or SaaS platforms
• Deep expertise in Python, SQL, and distributed processing frameworks such as Apache Spark, Databricks, Snowflake, Redshift, or BigQuery
• Proven experience with cloud-based data platforms, preferably AWS or Azure
• Hands-on experience with data orchestration tools like Airflow and dbt, and data warehouses including Databricks, Snowflake, Redshift, or BigQuery
• Strong understanding of data security, privacy, and compliance standards in financial contexts
• Experience working with structured and semi-structured data formats such as Delta, JSON, Parquet, and Avro
• Familiarity with data modeling in Salesforce, Netsuite, and Anaplan for business use cases
• Ability to evaluate emerging data technologies and lead proof-of-concept initiatives
• Excellent problem-solving skills and the ability to work independently with minimal supervision
• Strong interpersonal skills to collaborate effectively with diverse stakeholders

Responsibilities

• Design, develop, implement, and maintain scalable data processing pipelines for ETL operations from multiple data sources
• Lead the creation of complex SQL queries to support analytics and reporting requirements
• Develop and maintain technical tools leveraging AI, machine learning, and big data techniques to cleanse, organize, and transform data
• Evaluate and recommend appropriate tools and technologies for data infrastructure enhancements
• Collaborate with engineering, data science, product, and business teams to translate requirements into technical specifications and data workflows
• Work with structured and unstructured data stored across data lakes, relational databases, and data warehouses
• Ensure data quality, integrity, and security standards are upheld through rigorous governance practices
• Architect and scale modern data platforms supporting real-time and batch processing for various business functions
• Lead initiatives to improve data workflows, automate processes, and ensure continuous delivery
• Stay abreast of emerging data technologies and lead proof-of-concept projects to evaluate their applicability
• Promote a culture of security, automation, and best practices in data management
• Partner with stakeholders across departments to ensure data solutions meet business needs and compliance standards

Benefits

• Competitive salary range of $148,000 - $202,000, commensurate with experience
• Comprehensive insurance coverage including medical, dental, vision, life, and disability
• Flexible paid time off and paid holidays
• 401(k) plan with company matching contributions
• Remote work opportunities to support work-life balance
• Opportunities for professional development and career growth within a collaborative environment
• Genuine emphasis on employee well-being and inclusive company culture

Equal Opportunity

MeridianLink is an Equal Opportunity Employer. We are committed to creating an inclusive environment where all employees and applicants are treated with respect and fairness. We do not discriminate based on race, religion, color, sex, age, national origin, disability, or any other characteristic protected by applicable law.