Data Engineer (remote)

Claritev; Arvin, Irvine (CA, CA); Remote; USD 100,000 - 120,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where you'll design and maintain systems that collect and process data crucial for business insights. This role involves creating data pipelines, ensuring data accuracy, and collaborating with various teams to optimize data usage. You'll work with cutting-edge technologies like Databricks, SQL, and cloud platforms, making a significant impact in the healthcare sector. If you're passionate about data and eager to innovate in a dynamic environment, this is the perfect opportunity for you.

Benefits

Medical, dental, and vision coverage

Life insurance

Short and long-term disability

Paid Parental Leave

401(k) + match

Employee Stock Purchase Plan

Generous Paid Time Off

Tuition reimbursement

Flexible Spending Account

Employee Assistance Program

Qualifications

• 5+ years of software experience with relevant technologies.
• Strong experience with Databricks ecosystem and SQL.
• Database development experience with SQL, Spark, and NoSQL databases.

Responsibilities

• Design and implement data structures and workflows for business processes.
• Develop scalable data pipelines and API integrations.
• Collaborate with analytics and data science teams for data automation.

Skills

SQL

Python

Java

Scala

Databricks

ETL/ELT frameworks

BigQuery

Hadoop

MongoDB

Cassandra

Education

Bachelor's degree in Computer Science

Tools

Databricks

Spark

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 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 warehouse, databases, tables, SQL queries, and ingestion pipelines.
6. Utilize tools and technologies such as 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 transformation processes, and develop data infrastructure.
9. Identify and solve complex data-related problems.
10. Ensure compliance with HIPAA regulations and demonstrate Company’s core values.
11. This role involves exposure to PHI sensitive data, making it a high-risk and privileged position.

Requirements (Education, Experience, and Training)

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

Compensation

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

Benefits

We offer competitive compensation, benefits packages, an incentive bonus program, recognition and awards, flexible schedules, and professional development programs.

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, accrued based on years of service
• 10 paid company holidays
• Tuition reimbursement
• Flexible Spending Account
• Employee Assistance Program
• Sick time benefits, accruing up to 40 hours annually

EEO Statement

Claritev is an Equal Opportunity Employer. We consider all qualified applicants without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. More info on EEO rights can be found here.

Application Deadline

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