964 IT & Software Developer jobs in the US

Principal Data Engineer - AWS/Big Data
$147,000 - 185,000
DigiCert, Inc.
Thanksgiving Way 2801, Lehi
$147,000 - 185,000
Requirements
Must:
- Bachelors degree or equivalent in Computer Science, Statistics, Informatics, Information Systems, Mechanical Engineering, Computer Engineering, or a related discipline
- 5 years of hands-on experience as a Data Engineer, Data Platform Engineer, Machine Learning Engineer, or similar roles in hybrid environments
- 4 years of expertise designing, constructing, and enhancing large-scale data pipelines
- 4 years of experience with big data tools, including Spark, Kafka, PySpark, and Databricks
- 4 years of working knowledge in pipeline and workflow management tools such as Airflow, and with stream-processing frameworks like Spark-streaming
- 4 years of proficiency in object-oriented and functional scripting languages, especially Python, along with CI/CD practices using Jenkins
- 4 years of experience in creating monitoring dashboards, specifically with Grafana
- 4 years of performing change data capture (CDC) streaming for NoSQL databases
- 4 years of experience conducting root cause analysis and developing processes to address business questions and identify improvement opportunities
- 4 years of experience with message queuing, stream processing, and scalable data storage solutions
Responsibilities
- Design and contribute to distributed data processing systems focused on modular architecture, reusability, and resilience
- Collaborate on design evaluations and provide architectural insights to enhance the data platform and facilitate new analytics and machine learning applications
- Develop core framework components for data quality, observability, and recovery, promoting self-service capabilities among teams
- Standardize and implement strategies for incremental data processing, maintaining consistency, idempotency, and scalability
- Create and execute schema evolution strategies, metadata-driven processing, and lineage tracking to ensure compliance and traceability
- Optimize data storage formats, partitioning methods, and computing resource usage for efficient performance on a large scale
- Shape the technical roadmap by assessing new technologies and suggesting architectural enhancements aligned with long-term objectives
- Work closely with product, compliance, and platform teams to create reusable data interfaces and contract-driven ingestion frameworks
Description
At DigiCert, Inc., located in Lehi, UT, we are seeking a Principal Data Engineer to join our dedicated team. We offer a competitive salary range from $147,000 to $185,000 per year, along with a range of benefits designed to support our employees well-being and career growth. Our team is focused on innovation and collaboration, working to evolve our data platform to meet emerging analytics and machine learning needs.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 964 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?
Jump, Snaplii, Besnard Information Services, Gatekeeper Systems Inc, TsunadeQ Systems, Goway Travel Limited, Interborough Developmental and Consultation Center among others, are currently hiring for Data roles in the United States.
The company with most openings is Capital One as they are hiring for 240 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Capital One as they are hiring for 240 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.