ashby
Sr Data Engineer
MeridianLink
Remote, USA
Full-time
Senior · 6–8 years experience
Remote
USD 95000-135000 / year
Discovered 1 weeks ago
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Key Skills for This Role
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Full Job Posting
Qualifications
- Knowledge, Skills, and Abilities:
- 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 judgment.
- 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
- Technical Qualifications:
- Deep expertise in Python, SQL, and distributed processing frameworks like Apache Spark, Databricks, Snowflake, Redshift, BigQuery.
- Proven 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).
- Strong understanding of data security, privacy, and compliance within a financial services context.
- Experience working with structured and semi-structured data (e.g., Delta, JSON, Parquet, Avro) at scale.
- Familiarity with modelling datasets in Salesforce, Netsuite and Anaplan to solve business use cases required.
- Previous experience Democratizing data at scale for the enterprise a huge plus.
- Educational Qualifications and Work experience
- Bachelor's or master's degree in computer science, Engineering, or a related field.
- 6-8 years of experience in data engineering, with a strong focus on financial systems on SaaS platforms.
Preferred Qualifications
- Working with people, processes facing Enterprise a plus, improvement of processes/reduction of costs in the enterprise processes leveraging data is preferable.
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