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Data Engineer - #1696

JOB SUMMARY

 

We are looking for an accomplished Data Engineer to join our quickly growing Analytics team. The hire 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

- Bachelor's degree is highly preferred

- 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 practice

- Implementation experience with building data pipelines and modelling Salesforce data, Netsuite data and Hubspot is a plus.

- 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

 The following experience is highly preferred:

- 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.

   

At MeridianLink, we work together to design, implement, test, and deliver state-of-the-art web applications for the financial services industry, using the latest technologies including cloud computing, mobile development, responsive design, ASP.NET, JavaScript, C#, VB.NET, and SQL Server. 

OUR CULTURE

Our low turnover is a testament to our wonderful culture where people value the work they do and appreciate each other for their contributions. MeridianLink develops our employees so they can grow professionally by preferring to promote from within. We have an open door policy with direct access to executives; we want to hear your ideas and what you think. Our company believes that to be productive in the long term, we must have a genuine work-life balance. We understand that employees have families and full lives outside of the office. To that end, we honor their personal commitments. 

MeridianLink is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, age, national origin, disability or any other characteristic protected by applicable law.   

MeridianLink runs a comprehensive background check, credit check and drug test as part of our offer process.



MeridianLink has a wonderful culture where people value the work they do and appreciate each other for their contributions. We develop our employees so they can grow professionally by preferring to promote from within. We have an open-door policy with direct access to executives; we want to hear your ideas and what you think. Our company believes that to be productive in the long term, we must have a genuine work-life balance. We understand that employees have families and full lives outside of the office. To that end, we honor their personal commitments.

MeridianLink is an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, age, national origin, disability, or any other characteristic protected by applicable law. 

MeridianLink runs a comprehensive background check, credit check, and drug test as part of our offer process.

Salary range of $94,500 - $133,400. [It is not typical for offers to be made at or near the top of the range.] The actual salary will be determined based on experience and other job-related factors permitted by law including geographical location.

Meridianlink offers:


Potential For Equity-Based Awards

Insurance coverage (medical, dental, vision, life, and disability)

Flexible paid time off

Paid holidays

401(k) plan with company match

Remote work

All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated, or superseded from time to time. 

#LI-REMOTE

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Average salary estimate

$113950 / YEARLY (est.)
min
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$94500K
$133400K

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What You Should Know About Data Engineer - #1696, MeridianLink

Are you ready to take your expertise in data engineering to the next level? At MeridianLink, we’re on the lookout for a talented Data Engineer to join our rapidly expanding Analytics team. You’ll have the chance to shape and enhance our data architecture, streamline our data flow, and optimize Master Data Management for various teams. If you enjoy building robust data pipelines and are passionate about ensuring smooth data delivery across projects, this is the role for you. Your responsibilities will include designing and operating large-scale data pipelines while integrating diverse data sources to meet our dynamic business needs. We seek someone who loves coding, particularly with tools like Python and SQL, and is comfortable navigating cloud environments, especially Azure. You’ll collaborate with database architects and data scientists, bringing your 2-4 years of relevant experience to the table. But it won’t all be about the work – at MeridianLink, we pride ourselves on fostering a positive and collaborative culture. We believe in work-life balance, supporting your personal commitments while encouraging your professional growth. With an open-door policy and opportunities for equity-based awards, your voice will be heard and valued. Ready to make an impact? Join us to help build the next generation of data solutions!

Frequently Asked Questions (FAQs) for Data Engineer - #1696 Role at MeridianLink
What are the responsibilities of a Data Engineer at MeridianLink?

As a Data Engineer at MeridianLink, you will be responsible for designing, developing, and operating large-scale data pipelines. Your role will also focus on integrating data sources to meet specific business requirements and improving automation within internal processes. You'll collaborate with various teams to ensure optimal data delivery and support a range of data initiatives.

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What qualifications are needed for the Data Engineer position at MeridianLink?

To qualify for the Data Engineer position at MeridianLink, candidates should have 2-4 years of professional experience in Data Engineering and data warehousing, ideally coupled with a Bachelor's degree. Proficiency in Python, SQL, and tools like Azure Databricks is essential. Familiarity with ETL/ELT processes, data modeling techniques, and various BI visualization tools will also be beneficial.

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What technologies should a Data Engineer at MeridianLink be familiar with?

A Data Engineer at MeridianLink should be familiar with a suite of technologies, including Python, Apache Spark, Azure Databricks, and SQL. Additionally, experience with data warehousing, MDM practices, and tools such as GitLab or Jenkins is crucial for success in this role.

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What is the work culture like for Data Engineers at MeridianLink?

The work culture at MeridianLink for Data Engineers is characterized by collaboration, professional growth, and a strong emphasis on maintaining a healthy work-life balance. Employees are encouraged to share their ideas, and there is a focus on internal promotions and supportive team dynamics, making it an enjoyable atmosphere to work in.

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Is remote work an option for Data Engineers at MeridianLink?

Yes, the Data Engineer position at MeridianLink offers remote work opportunities. Flexibility is an essential part of our culture, allowing you to maintain a work-life balance while contributing meaningfully to your projects and teams.

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Common Interview Questions for Data Engineer - #1696
Can you explain your experience with building data pipelines in your previous roles?

When discussing your experience with data pipelines, highlight specific projects where you’ve had a role in designing or enhancing these systems. Discuss the technologies you used, such as Azure Databricks or Python, and elaborate on the outcomes your initiatives achieved, particularly in efficiency or processing time.

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What do you understand about ETL/ELT processes and how do you apply them?

Explain the differences between ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, and provide examples of when to use each. Discuss your hands-on experience with these processes, showcasing your adaptability to business needs and data types.

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What strategies do you use to optimize SQL queries?

Outline effective strategies you implement to optimize SQL queries, such as indexing, analyzing execution plans, and rewriting inefficient joins. Providing specific examples where you've successfully improved query performance will illustrate your expertise.

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How do you ensure data quality during your pipeline construction?

Share your approach to ensuring data quality, which may involve rigorous testing, validation steps, and continuous monitoring once the pipelines are live. Mention any tools or metrics you utilize to gauge data integrity.

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Describe a challenging data project you worked on. How did you overcome obstacles?

Focus on a specific challenge within a data project and detail the steps you took to tackle it, emphasizing your problem-solving skills. Discuss how you coordinated with team members and leveraged your technical abilities to achieve successful outcomes.

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How do you keep up with industry trends and new technologies relevant to data engineering?

Discuss your proactive strategies for staying informed about data engineering trends, such as following industry publications, participating in webinars, or attending workshops. This reflects your commitment to continuous learning and advancement in the field.

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What role does collaboration play in your work as a Data Engineer?

Describe your experience working in cross-functional teams and how you prioritize communication and collaboration. Provide examples of how teamwork has led to better data strategies and outcomes in your projects.

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Can you provide an example of how you automated a data process?

Share a particular instance where you implemented automation in a data process. Discuss the technologies you used and the impact that automation had on efficiency and accuracy, emphasizing your technical capabilities.

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How do you approach understanding and defining business requirements for data projects?

Explain your strategy for gathering and understanding business requirements by working closely with stakeholders. Highlight the importance of aligning technical solutions with business objectives to deliver effective data products.

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What are your career goals as a Data Engineer, and how does this position with MeridianLink align with them?

Discuss your short-term and long-term career aspirations within the data engineering field. Explain how the values and opportunities at MeridianLink align with your goals, emphasizing your enthusiasm for contributing to the team.

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We democratize financial services technology and data so our clients can focus on what’s truly important: their employees, customers and communities.

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Full-time, remote
DATE POSTED
March 21, 2025

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