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Job Description

- Design and build scalable data pipelines to ingest, transform, and deliver company data to internal and external stakeholders, including multiple reporting teams and external media partners.

- Develop and maintain data pipelines for real-time and batch processing (hourly).

- Implement new data exports and update business logic for various data feeds.

- Contribute to the development of billion-scale streaming data pipeline infrastructure.

- Ensure data quality and integrity throughout the ingestion and processing lifecycle.

- Participate in brief morning status meeting (15 minutes) and developer sync with the greater team (10-30 minutes).

- Work on assigned tasks with minimal meetings outside of weekly team syncs.

- Agile development environment with 2-week sprints and production releases on Tuesday during working hours.

- Work hours based on Mountain Standard Time (MST).

- On call responsibilities (Mon-Fri, 8am-7pm MST, about once every six weeks)

- This role offers the opportunity to work on challenging and impactful projects within a collaborative team environment.

- You will be instrumental in building and maintaining the data infrastructure that supports critical business decisions.

- Per company policy, full-time conversions will require the candidate be local to Denver or certain hub locations at this time.

The pay range for this role varies greatly on years and depth of experience and can be anywhere from $60-$72/hour.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Skills and Requirements

• 3+ years of experience coding in Scala with a strong foundation in functional programming concepts.

• Experience with Apache Spark Structured Streaming (in Scala), with a focus on migrating existing projects and building new features using Spark.

• Experience with Apache Kafka for real-time message queuing, with an understanding of Consumer and Producer offset management and at-least-once & at-most-once semantics.

• Familiarity with container orchestration concepts, preferably Kubernetes.

• Basic understanding of AWS cloud technologies -- S3, Athena, Lambda, IAM, EMR

• Comfortable using SQL for data exploration.

• Experience supporting large-scale data feeds. - Experience building infrastructure with Terraform. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.