What are the responsibilities and job description for the Data Engineer III position at TEKsystems?
*Top Skills' Details*
1. 6-8 years of experience as a Data Engineer. Core experience with Scala and Spark. This person will be writing Parsers in Scala and Python.
2. Experience with Airflow- creating and building DAGs
is going to be really helpful- candidates have fallen short in Terraform experience
4. Apache Parquet (columnar storage format for data that is designed for efficient storage and fast data access)
5. Experience with RedShift
*Description:*
At our client, they're not just another Healthcare Technology company; we're pioneers reshaping the future of healthcare! With our headquarters in vibrant Jacksonville, FL, and an exciting office in Bangalore, India, along with an exceptional remote workforce across the United States, we're a global team united by a powerful mission.
We're on a mission to bring the focus back to what truly matters - patient care. As the leading healthcare engagement platform, we're the heartbeat of an industry that impacts millions. With over 2 million providers connected to health plans, and processing over 13 billion transactions annually, our influence is continually expanding.
Join our energetic, dynamic, and forward-thinking team where your ideas are celebrated, innovation is encouraged, and every contribution counts. We're transforming the healthcare landscape, solving communication challenges, and creating connections that empower the nation's premier healthcare ecosystem.
Job Summary:
Reporting to the Manager, Software Engineering the Data Engineer III primary role is to consistently deliver on-time, high-quality solutions that meet business objectives. Working within a very dynamic team, this role must help elevate the team's quality. The Data Engineer III will work closely with Engineering, Data Scientists, and business and technical teams to deliver secure, reliable, fault-tolerant, scalable, quality, and efficient outcomes.
Sponsorship, in any form, is not available for this position.
Location: Remote, US, Cannot sit in California
Role qualifications:
*In-depth understanding of Spark framework, scripting languages (e.g., Python, Bash, node.js) and programming languages (e.g., SQL, Java, Scala) to design, build, and maintain complex data processing, ETL (Extract, Transform, Load) tasks, and AWS automation.
*Experience working with big data and large datasets (100 gigs or more).
*Experience with AWS Terraform
*Experience building workflows with Airflow.
*A firm understanding of unit testing.
*Possess in-depth knowledge of AWS services and data engineering tools to diagnose and solve complex issues efficiently, specifically AWS EMR for big data processing.
*In-depth understanding of GIT or other distributed version control systems.
*Excellent communication. Essential to performing at maximum efficiency within the team.
*Collaborative attitude. This role is part of a larger, more dynamic team that nurtures collaboration.
*Strong technical, process, and problem-solving proficiency.
*Must have experience with SQL and relational database systems (e.g., Oracle, SQL Server).
*Must have experience with Linux.
Other 'Nice to Have' Skills
*4 years of development experience with big data technologies.
*4 years using Apache Spark.
*Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
*Experience with Software Development Life Cycle.
*Experience with Software Development Best Practices (Version control, Change Management, Unit Testing, etc.).
*Familiarity with standard data science toolkits, such as R and Python is a plus.
*Demonstrated experience with operationalization and observability in a production environment.
*Holding relevant certifications (e.g., AWS Certified Developer - Associate or AWS Certified Solutions Architect - Associate) would be a plus.
What you will be doing:
*Develop a scalable and resilient cloud data platform and scalable data pipelines.
*Ensure industry best practices around data pipelines, metadata management, data quality, data governance, and data privacy.
*Build highly scalable AWS Infrastructure (from scratch or through 3rd party products) to enable Big Data Processing in the platform.
*Find optimization within cloud resource usage to minimize costs while maintaining system reliability, including leveraging reserved instances and spot instances effectively.
*Find performance sensitive considerations within development best practices, as well as, troubleshooting across the data platform utilizing tools (e.g., Splunk and New Relic, Cloud Watch, etc.) to ensure performance measurement and monitoring.
*Participate in coding best practices, guidelines and principles that help engineers write clean, efficient, and maintainable code.
*Participate in code reviews to catch issues, improve code quality, and provide constructive feedback to individuals within the team during code reviews.
*Skills:*
scala, aws, airflow, spark, terraform, Python, Sql
*Top Skills Details:*
scala, aws, airflow, spark, terraform
*Additional Skills & Qualifications:*
*Designing the solution and pulling airflow process; Dags and redshift
*Embed this person to other teams and bring knowledge back to his team; his team is full stack/c#
*Supporting capability and training people on his team
*Airflow and being able to write Dags, parsers in Spark and Scala; they do not have Terraform experience, would be important to have
*One candidate didn't have a lot of terraform; this will set candidates apart. Cultural and communication has been hard to find; concise in question/answering. Short introductions are needed and get your point across
*Want stability in roles
*Dig into Scala experience
*Experience Level:*
Intermediate Level
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
1. 6-8 years of experience as a Data Engineer. Core experience with Scala and Spark. This person will be writing Parsers in Scala and Python.
2. Experience with Airflow- creating and building DAGs
is going to be really helpful- candidates have fallen short in Terraform experience
4. Apache Parquet (columnar storage format for data that is designed for efficient storage and fast data access)
5. Experience with RedShift
*Description:*
At our client, they're not just another Healthcare Technology company; we're pioneers reshaping the future of healthcare! With our headquarters in vibrant Jacksonville, FL, and an exciting office in Bangalore, India, along with an exceptional remote workforce across the United States, we're a global team united by a powerful mission.
We're on a mission to bring the focus back to what truly matters - patient care. As the leading healthcare engagement platform, we're the heartbeat of an industry that impacts millions. With over 2 million providers connected to health plans, and processing over 13 billion transactions annually, our influence is continually expanding.
Join our energetic, dynamic, and forward-thinking team where your ideas are celebrated, innovation is encouraged, and every contribution counts. We're transforming the healthcare landscape, solving communication challenges, and creating connections that empower the nation's premier healthcare ecosystem.
Job Summary:
Reporting to the Manager, Software Engineering the Data Engineer III primary role is to consistently deliver on-time, high-quality solutions that meet business objectives. Working within a very dynamic team, this role must help elevate the team's quality. The Data Engineer III will work closely with Engineering, Data Scientists, and business and technical teams to deliver secure, reliable, fault-tolerant, scalable, quality, and efficient outcomes.
Sponsorship, in any form, is not available for this position.
Location: Remote, US, Cannot sit in California
Role qualifications:
*In-depth understanding of Spark framework, scripting languages (e.g., Python, Bash, node.js) and programming languages (e.g., SQL, Java, Scala) to design, build, and maintain complex data processing, ETL (Extract, Transform, Load) tasks, and AWS automation.
*Experience working with big data and large datasets (100 gigs or more).
*Experience with AWS Terraform
*Experience building workflows with Airflow.
*A firm understanding of unit testing.
*Possess in-depth knowledge of AWS services and data engineering tools to diagnose and solve complex issues efficiently, specifically AWS EMR for big data processing.
*In-depth understanding of GIT or other distributed version control systems.
*Excellent communication. Essential to performing at maximum efficiency within the team.
*Collaborative attitude. This role is part of a larger, more dynamic team that nurtures collaboration.
*Strong technical, process, and problem-solving proficiency.
*Must have experience with SQL and relational database systems (e.g., Oracle, SQL Server).
*Must have experience with Linux.
Other 'Nice to Have' Skills
*4 years of development experience with big data technologies.
*4 years using Apache Spark.
*Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
*Experience with Software Development Life Cycle.
*Experience with Software Development Best Practices (Version control, Change Management, Unit Testing, etc.).
*Familiarity with standard data science toolkits, such as R and Python is a plus.
*Demonstrated experience with operationalization and observability in a production environment.
*Holding relevant certifications (e.g., AWS Certified Developer - Associate or AWS Certified Solutions Architect - Associate) would be a plus.
What you will be doing:
*Develop a scalable and resilient cloud data platform and scalable data pipelines.
*Ensure industry best practices around data pipelines, metadata management, data quality, data governance, and data privacy.
*Build highly scalable AWS Infrastructure (from scratch or through 3rd party products) to enable Big Data Processing in the platform.
*Find optimization within cloud resource usage to minimize costs while maintaining system reliability, including leveraging reserved instances and spot instances effectively.
*Find performance sensitive considerations within development best practices, as well as, troubleshooting across the data platform utilizing tools (e.g., Splunk and New Relic, Cloud Watch, etc.) to ensure performance measurement and monitoring.
*Participate in coding best practices, guidelines and principles that help engineers write clean, efficient, and maintainable code.
*Participate in code reviews to catch issues, improve code quality, and provide constructive feedback to individuals within the team during code reviews.
*Skills:*
scala, aws, airflow, spark, terraform, Python, Sql
*Top Skills Details:*
scala, aws, airflow, spark, terraform
*Additional Skills & Qualifications:*
*Designing the solution and pulling airflow process; Dags and redshift
*Embed this person to other teams and bring knowledge back to his team; his team is full stack/c#
*Supporting capability and training people on his team
*Airflow and being able to write Dags, parsers in Spark and Scala; they do not have Terraform experience, would be important to have
*One candidate didn't have a lot of terraform; this will set candidates apart. Cultural and communication has been hard to find; concise in question/answering. Short introductions are needed and get your point across
*Want stability in roles
*Dig into Scala experience
*Experience Level:*
Intermediate Level
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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