Engineer, Big Data - Databricks/Python/SQL/Power BI - Remote

Lensa; Sterling Heights (MI); Remote; USD 77,000 - 156,000; Full time

Job summary

Join a forward-thinking company as a Data Engineer, where you will be at the forefront of data management and analytics. This role focuses on designing and implementing scalable data solutions, ensuring high performance and reliability. You will work closely with various teams to gather requirements and deliver optimal solutions, leveraging cutting-edge technologies like Hadoop and Kafka. If you are passionate about data and thrive in a dynamic environment, this opportunity is perfect for you. Embrace the chance to make a significant impact in the data landscape and contribute to innovative projects.

Qualifications

• Experience with Hadoop cluster components and services.
• Proven experience with Big Data tools like Spark and Hive.
• Strong experience with database technologies and data governance.

Responsibilities

• Collecting, storing, processing, and analyzing large sets of data.
• Design and build data solutions emphasizing performance and scalability.
• Implement batch and real-time data ingestion/extraction processes.

Skills

Data Architecture

ETL Processes

Data Modeling

Hadoop

Kafka

Big Data Tools

Java

Python

NoSQL Databases

APIs

Education

Bachelor's Degree

Master's Degree

Tools

Talend

Hadoop

Spark

Hive

Kafka

Job description

Job Description: Data Engineer

Responsible for collecting, storing, processing, and analyzing large sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. He/she will also be responsible to follow architecture and best practices used across the enterprise.

Knowledge/Skills/Abilities

• Define ideal Architecture, evaluate tools and frameworks, standards & best practices for implementing scalable business solutions
• Implement batch and real-time data ingestion/extraction processes through ETL, streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
• Design and build data solutions emphasizing performance, scalability, and high reliability
• Code, test, and document new or modified data systems to create robust and scalable applications for data analytics
• Build data models for analytics and application layers
• Work closely with multiple teams and business partners to collect requirements and provide optimal solutions
• Proven experience with Hadoop cluster components and services (like HDFS, YARN, Zookeeper, Cloudera Manager, Sentry/Ranger, Kerberos, etc.)
• Participate in troubleshooting technical issues with infrastructure and vendor support teams

Job Qualifications

Required Education: Bachelor's Degree

Required Experience:

• Experience in building stream-processing systems using Kafka, Storm, or Spark-Streaming
• Proven experience with Big Data tools such as Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
• Experience with data integration from multiple sources using ETL tools like Talend
• Experience with NoSQL databases such as HBase, MemSQL
• Strong experience with database technologies, data warehouse, data validation & certification, data quality, metadata management, and data governance
• Proficiency in programming languages such as Java, Scala, Python
• Experience with web application and web services APIs (REST/SOAP)

Preferred Education: Master's Degree

Preferred Experience: Experience in the healthcare industry is preferred

To all current Molina employees: If interested, please apply through the intranet job listing.

Molina Healthcare offers a competitive benefits and compensation package. Molina is an Equal Opportunity Employer (EOE) M/F/D/V.

Pay Range: $77,969 - $155,508 / ANNUAL