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Data Engineer

Description

Company Summary

CRISP Shared Services (CSS) serves as the technology partner for health information exchange (HIE) affiliates in Maryland, DC, West Virginia, Connecticut, Alaska, and Virginia. CSS facilitates the electronic transfer of clinical information between disparate information systems in order to positively impact the healthcare system through improved patient care and outcomes, reduced costs, and data-driven understanding of regional public health concerns.


Job Summary

The Data Engineer will be responsible for supporting HIT activities in the Baltimore/Washington region. The successful candidate will work to design, develop, and maintain a data analytics platform solution. CRISP Shared Services is currently running an Azure Data Lake 2 / Azure Data Factory / Spark / Databricks infrastructure with approximately 300 production use cases that consolidate several streams of healthcare data. This role will primarily focus on the creation of new use cases through Databricks programming including communication, technical proficiency, collaboration, and willingness to learn new things. This role assists a senior data engineer to implement new ingestion pipelines and troubleshoot production issues.


This position will have a base salary.

This position requires the candidate to be in the Columbia office 1 day a week.

Requirements

Essential Duties and Responsibilities

Include the following. Other duties may be assigned.

  • Design, build, and maintain large, complex data processing pipelines that meet business requirements
  • Ensure the quality of deliverables by developing automated controls and performing unit, integration, and user acceptance testing
  • Develop scalable and re-usable frameworks for ingestion and transformation of large data sets
  • Troubleshoot and perform root cause analysis on data pipeline issues
  • Work with source system owners and business owners to incorporate business changes into data pipeline
  • Create comprehensive documentation of data workflows, processes, and infrastructure

Qualifications

To perform this job successfully, the incumbent must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Advanced programming skills in PySpark, Python, Spark SQL
  • Thorough understanding of Data Lakes, raw/enriched/curated layer concepts, and ETL within Azure framework
  • Proven development experience in building complex data pipelines for lakehouse/data warehouses using Agile methodology
  • Experience in architecture, design, and implementation using Databricks and Azure Data Factory

Experience and/or Educations Requirements

  • 4+ year college degree (required)
  • 4+ years of working with data integration (required)
  • 2+ years of advanced programming in PySpark
  • Experience working with Databricks (preferred)

 

Compensation and Benefits Package 

  • Targeted base salary: 95k – 115k per year, based on experience and qualifications, plus benefits and bonuses.
  • Benefits include the following but are not limited to health, dental, vision, life and disability insurance. CSS also has a 403(b) plan with discretionary employer match and contributions. You will be eligible for 20 days of Paid Time Off per year (accrued in accordance with CSS’s policies). PTO is in addition to 8 company designated holidays. If you are not PTO eligible, you may be eligible for applicable state and/or local sick and safe leave in accordance with the provisions of any applicable state and/or local sick and safe leave laws.

www.crispsharedservices.org  

www.crisphealth.org  


CRISP Shared Services, Inc. is an equal opportunity employer. This means that CRISP Shared Services Inc. is dedicated to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, age, marital status, genetic information, disability, military or veteran status, or any other status protected by federal, state, or local law. We celebrate diversity and are committed to creating an inclusive environment for all team members.

Average salary estimate

$105000 / YEARLY (est.)
min
max
$95000K
$115000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, CRISP Shared Services, Inc

Are you ready to take your career to the next level as a Data Engineer? Join CRISP Shared Services in Columbia, Maryland, where your expertise will drive the technology behind health information exchange (HIE) across several states. As a Data Engineer, you'll design, develop, and maintain a sophisticated data analytics platform that supports vital healthcare initiatives in the Baltimore/Washington region. At CRISP, we prioritize patient care and public health outcomes by harnessing data's power. The role focuses on crafting new use cases using Databricks programming. You'll work alongside a senior data engineer, helping to implement ingestion pipelines and troubleshoot any production issues. Your responsibilities will include building complex data processing pipelines and ensuring the highest quality of deliverables through automated controls and thorough testing. With your advanced skills in PySpark, Python, and Azure Data Framework, you'll play a crucial part in the future of healthcare technology. We invite you to apply today and be part of a collaborative team that’s committed to learning and innovation, all while making a positive impact on communities across Maryland and beyond.

Frequently Asked Questions (FAQs) for Data Engineer Role at CRISP Shared Services, Inc
What are the primary responsibilities of a Data Engineer at CRISP Shared Services?

As a Data Engineer at CRISP Shared Services, your primary responsibilities will include designing, building, and maintaining large data processing pipelines. You'll work closely with business and source system owners to incorporate changes and ensure high-quality deliverables through automated testing and data controls.

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What qualifications do I need to apply for the Data Engineer position at CRISP Shared Services?

To be considered for the Data Engineer role at CRISP Shared Services, you must possess a 4-year degree and have a minimum of 4 years of experience in data integration, along with at least 2 years of advanced programming in PySpark. Familiarity with Databricks and Azure Data Factory is highly preferred.

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What tools and technologies will I be using as a Data Engineer at CRISP Shared Services?

In the Data Engineer position at CRISP Shared Services, you will primarily work with Azure Data Lake, Azure Data Factory, Spark, and Databricks. Your proficiency in PySpark and Spark SQL will also be crucial for enhancing our data analytics capabilities.

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How often do Data Engineers work in the office at CRISP Shared Services?

Data Engineers at CRISP Shared Services are required to be in the Columbia office one day a week. This allows for collaboration with team members while also providing the flexibility for remote work on other days.

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What is the salary range for the Data Engineer position at CRISP Shared Services?

The salary for the Data Engineer role at CRISP Shared Services ranges from $95,000 to $115,000 per year, depending on experience and qualifications, along with a comprehensive benefits package.

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Common Interview Questions for Data Engineer
Can you explain your experience with PySpark in data engineering?

When answering this question, discuss specific projects where you've utilized PySpark for data processing. Highlight the challenges you faced and how you overcame them, focusing on your analytical skills and problem-solving approach.

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How do you ensure the quality of your data processing pipelines?

It's important to describe your approach to quality assurance, including the use of automated controls, unit testing, and user acceptance testing. Mention how you verify data integrity and consistency throughout the pipeline.

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What is your understanding of ETL processes in the Azure framework?

Explain your knowledge of the ETL process, specifically within Azure. Discuss any hands-on experience you have with Azure Data Factory and how you’ve implemented data ingestion and transformation workflows.

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Describe a situation where you had to troubleshoot a data pipeline issue.

Provide a specific example where you identified a problem within a data pipeline. Discuss your diagnostic process, the tools you used, and the outcome to demonstrate your analytical and troubleshooting skills.

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What are your strategies for collaborating with business owners when developing data solutions?

Outline how you communicate effectively with business stakeholders, ensuring their needs are considered in data solutions. Give examples of past collaborations and how they contributed to successful project outcomes.

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How do you approach creating documentation for data workflows?

Discuss the importance of clear and comprehensive documentation in your work. Share your methods for documenting data workflows, including tools used and how you ensure that documentation is accessible and useful for team members.

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What challenges have you encountered in data engineering, and how did you address them?

Reflect on specific challenges you’ve faced in previous roles, emphasizing your problem-solving tactics and how you adapted to overcome obstacles. This will help showcase your resilience and resourcefulness.

Join Rise to see the full answer
Can you explain the significance of Data Lakes and their structure?

Describe your understanding of Data Lakes, including the concepts of raw, enriched, and curated layers. Highlight the benefits they offer for data processing and how they differ from traditional data warehousing.

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What is your experience with Agile methodology in data projects?

Share your experience working within Agile frameworks, emphasizing teamwork, iterative development, and how you’ve adapted to changing requirements throughout data project cycles.

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How would you prioritize multiple data pipeline projects?

Explain your strategies for project prioritization, including assessing business impact, deadlines, and resource availability. Provide examples from previous roles that demonstrate your organizational skills.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 16, 2025

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