MeridianLink Logo

MeridianLink

Data Engineer

Reposted 22 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
The Data Engineer will design, develop, and optimize large scale data pipelines and ensure effective data delivery for cross-functional teams.
The summary above was generated by AI

We are looking for an accomplished Data Engineer to join our quickly growing Analytics team. This role will be responsible for expanding and improving our data and data pipeline architecture, as well as optimizing data flow and MDM for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. 


The Data Engineer will support database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data pipelines to support our next generation of products and data initiatives.


RESPONSIBILITIES

•Design, develop, and operate large scale data pipelines to support internal and external consumers

•Improve and automate internal processes

•Integrate data sources to meet business requirements

•Write robust, maintainable, well documented code


QUALIFICATIONS

• 2-4 years professional Data Engineering and Data warehousing experience

• Extremely strong implementation experience in Python, Parquet, Spark, Azure Databricks, Delta Lake, Databricks Data Warehouse. Databricks workflows, Delta Sharing and Unity Catalog.

• SQL development knowledge – Stored procedures, triggers, jobs, indexes, partitioning, pruning etc.

• Be able to write/debug complex SQL queries

• ETL/ELT and Data-warehousing techniques and best practices

• Experience building, maintaining, and scaling ETL/ELT processes and infrastructure

• Implementation experience with various data modelling techniques 

• Implementation experience working with a BI visualization tool (Sisense is a plus)

• Experience with CI/CD tools (Preferred Gitlab, Jenkins)

• Experience with cloud infrastructure (Azure strongly preferred)

• Experience working in a fast-paced product environment, with an attitude of getting the job done with the least amount of tech debt

• Pluses for experience with UI development frameworks such as java script, Django, REACT etc.

• Knowledge of being able to work with a variety of Ingestion patterns such as API/SQL servers etc.

• Knowledge of Master Data Management

• Prior Financial industry experience a plus.

• Be able to navigate ambiguity and pivot based on business priorities with ease.

• Strong communication, negotiating and estimating skills.

• Be a team player and should be able to collaborate well.

Top Skills

APIs
Azure
Azure Databricks
Ci/Cd Tools
Databricks Data Warehouse
Delta Lake
Gitlab
Jenkins
Parquet
Python
Spark
SQL

Similar Jobs

7 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Senior level
Senior level
Fintech • Mobile • Software • Financial Services
The Senior Data Engineer will design, build, and maintain data solutions for risk management, focusing on data warehousing and pipeline development. They will mentor other engineers and drive data strategy.
Top Skills: AirtableAnsibleApache AirflowApache KafkaCloudFormationDbtGithub ActionsGitlab Ci/CdPythonSnowflakeSQLTerraform
Yesterday
Remote or Hybrid
United States
100K-150K Annually
Senior level
100K-150K Annually
Senior level
Artificial Intelligence • Big Data • Consumer Web • Digital Media • Marketing Tech
The Senior Data Engineer will manage data infrastructure, build data pipelines, develop dashboards for analytics, and ensure data quality while collaborating with various teams.
Top Skills: AirflowBigQueryDbtFivetranLookerPower BIPythonRRedshiftSnowflakeSQLTableau
Yesterday
Easy Apply
Remote
United States
Easy Apply
99K-186K Annually
Mid level
99K-186K Annually
Mid level
Software
The Data Engineer will build and operate data systems, develop cloud-native services, and collaborate with analysts to ensure data integrity and support AI initiatives.
Top Skills: AWSDbtPythonSnowflakeSQLTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account