Data Engineer (remote)

Claritev; Naperville (IL); Remote; USD 100,000 - 120,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where you will design and build systems that transform raw data into valuable insights. This role involves creating data pipelines, ensuring data quality, and collaborating with various teams to automate data analysis. With a focus on innovation and accountability, you will play a crucial role in optimizing data infrastructure in the healthcare sector. Enjoy a competitive compensation package and a vibrant work culture that champions diversity and empowers employees to reach their full potential.

Benefits

Health coverage

Life insurance

Disability benefits

Paid parental leave

401(k) with match

Employee stock purchase plan

Generous paid time off

Tuition reimbursement

Flexible spending account

Employee assistance program

Qualifications

• 5+ years of software experience in relevant technologies.
• Strong experience in the Databricks ecosystem and SQL.

Responsibilities

• Design and implement data structures and workflows.
• Develop and maintain scalable data pipelines and API integrations.

Skills

SQL

Python

Java

Scala

Databricks

ETL/ELT frameworks

Big Data technologies

Education

Bachelor’s degree in a related computer field

Tools

Databricks

SPARK

BigQuery

Hadoop

MongoDB

Cassandra

Hive

Impala

Kafka

Job description

At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders - internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.

Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!

Job Summary

A Data Engineer designs, builds, and maintains the systems that collect, store, and process data for analysis and business use. They are responsible for creating data pipelines that transform raw data into usable formats for data scientists and other stakeholders. Data engineers implement data quality checks and monitoring processes to ensure data accuracy and reliability. This involves developing and maintaining databases, data warehouses, and other data infrastructure.

Duties

1. Work with business users, technology teams, and executives to understand their data needs and create innovative solutions to fulfill them.
2. Design, organize, and implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
3. Develop and maintain scalable data pipelines and build out new API integrations to support increasing data volume and complexity.
4. Manage and improve the performance of databases, queries, tools, and solutions.
5. Create and maintain data warehouses, databases, tables, SQL queries, and ingestion pipelines.
6. Utilize tools and technologies including SQL, Python, Java, Scala, cloud platforms, and ETL/ELT frameworks.
7. Write complex and efficient queries to transform raw data sources into accessible models for teams and reporting platforms.
8. Collaborate with analytics, data science, and engineering teams to automate data analysis and visualization, advise on data transformation, and develop data infrastructure.
9. Identify and solve complex data-related problems.
10. Ensure compliance with HIPAA regulations and demonstrate the company's core values.
11. This role involves exposure to PHI data and is considered high risk and privileged.

Requirements (Education, Experience, and Training)

1. 5+ years of progressive software experience in relevant technologies.
2. 3+ years designing complex service-oriented systems.
3. Strong experience in the Databricks ecosystem.
4. Proficiency with tools and technologies such as Databricks, SQL, Python, Java, Scala, cloud platforms, and ETL/ELT frameworks.
5. Experience with advanced analytics tools and scripting languages like Python, Java, or Scala.
6. Database development experience with SQL, SPARK, BigQuery, and familiarity with NoSQL databases like Hadoop, MongoDB, Cassandra.
7. Big Data development experience with Hive, Impala, Spark, and Kafka.
8. Bachelor’s degree in a related computer field is preferred.

Compensation

The salary range for this position is $100-120K, based on education, experience, skills, location, and internal equity. The role includes health insurance, 401k, and bonus opportunities.

Benefits

We offer a competitive benefits package including health coverage, life insurance, disability benefits, paid parental leave, 401(k) with match, employee stock purchase plan, generous paid time off, holidays, tuition reimbursement, flexible spending account, employee assistance program, and sick leave benefits.

Your Benefits Will Include

• Medical, dental, and vision coverage with low deductible & copay
• Life insurance
• Short and long-term disability
• Paid Parental Leave
• 401(k) + match
• Employee Stock Purchase Plan
• Generous Paid Time Off
• 10 paid company holidays
• Tuition reimbursement
• Flexible Spending Account
• Employee Assistance Program
• Sick time benefits

EEO Statement

Claritev is an Equal Opportunity Employer. We consider all qualified applicants regardless of age, race, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. More info on EEO rights is available here.

Application Deadline

Applications are accepted for at least 15 days from posting or until the position is filled.