1791 IT & Software Developer jobs in the US
Requirements
Must:
- 7-10 years of professional experience in data engineering or database specialization, with a solid portfolio of building and sustaining production-level cloud data systems.
- In-depth, hands-on expertise in the Google Cloud Platform, focusing on designing solutions involving BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud SQL, and AlloyDB.
- Over 6 years of advanced experience in Python development aimed at data processing, automation, and crafting ETL/ELT pipelines.
- Expert-level understanding of PostgreSQL internals, including query planning, indexing, vacuuming, and locking mechanisms, alongside performance optimization.
- Proven experience in migrating complex databases from Oracle (preferably Exadata) to PostgreSQL.
- Significant professional experience with other enterprise databases such as MS SQL Server.
- Demonstrable experience in building CI/CD pipelines and managing infrastructure as code using Terraform.
- Familiarity with data orchestration tools like Apache Airflow or Cloud Composer.
- Experience with additional Google Cloud Platform data services including Bigtable and Memory Store (Redis).
- Proficiency in enterprise database monitoring and administrative tools such as IDERA, SCOM, Oracle OEM.
- Awareness of data privacy and compliance regulations, including HIPAA and GDPR.
Responsibilities
- Design and implement robust, scalable, and cost-efficient data architectures on Google Cloud Platform, with a focus on Cloud SQL, AlloyDB, and Bigtable.
- Lead enhancements in database performance, tuning, and optimization for PostgreSQL, addressing and resolving intricate issues arising from the legacy Oracle Exadata environment.
- Develop and maintain resilient, cloud-native data pipelines (ETL/ELT) utilizing Python and Google Cloud Platform services like Dataflow, BigQuery, and Pub/Sub.
- Create and put into action automation solutions in Python for performance oversight, troubleshooting, and infrastructure management employing IaC tools such as Terraform.
- Direct the technical execution of transitioning large, complex databases from Oracle to PostgreSQL on Google Cloud Platform, guaranteeing data integrity and effective performance.
- Act as a subject matter expert and mentor for development and data reliability teams regarding PostgreSQL and Google Cloud Platform best practices, enhancing the teams technical prowess.
Description
At CME Group, were on the lookout for a proactive Technology Specialist to spearhead our database modernization initiatives as we transition from outdated on-premise databases to innovative cloud solutions. Our organization is the preeminent derivatives marketplace globally, and we offer a competitive total rewards package that highlights your contributions and invests in your future. The pay range for this position is between $138,800 and $231,300, influenced by various factors like experience and education. Our benefits program prioritizes flexibility and value, featuring comprehensive health coverage, a retirement package that incorporates both a 401(k) plan and an active pension plan, as well as competitive educational reimbursement, paid time off, and mental health benefits. At CME Group, we cherish the unique experiences and skills of our employees, striving to acknowledge and value every perspective.
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How many Data Engineer jobs are in the United States?
Currently, there are 1791 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
Snaplii, Levven Electronics Ltd., ScaleMyMealPrep, Confidential, Optimum, SPR, Encore Global among others, are currently hiring for Data roles in the United States.
The company with most openings is Jobot as they are hiring for 126 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Jobot as they are hiring for 126 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.