3510 IT & Software Developer jobs in the US

Data Engineer with Python and SQL
$60,000 - 180,000
M9 Solutions
Westwood Center Drive 8603, Bethesda
$60,000 - 180,000
Requirements
Must:
- Active Top Secret SCI clearance.
- Bachelors degree or equivalent practical experience.
- Proficient in distributed computing frameworks for large-scale data processing.
- Experience with Amazon Web Services (AWS) or other cloud environments.
- Familiarity with datastores such as PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch, and SQL.
- Strong command of Python and its libraries, including pandas, PySpark, NiFi, Airflow, or similar technologies.
- Knowledge of software platforms like Docker, Kubernetes, JMS/SQS, SNS, and Kafka.
- Experience in Linux/Unix server environments.
- Familiarity with Agile development methodologies.
- Ability to publish or present design reports.
- Collaboration skills to coordinate project milestones with team members.
- Experience with collaboration tools like Jira and Confluence.
Technologies
Airflow
Lambda
OpenSearch
Redshift
Confluence
Responsibilities
- Identify and implement internal process enhancements, including redesigning infrastructure for improved scalability.
- Develop and design data pipelines to facilitate end-to-end solutions.
- Maintain documentation related to schemas, data dictionaries, and ETL processes.
- Integrate data pipelines with AWS cloud services to derive actionable insights.
- Collaborate with stakeholders to address their data infrastructure needs and troubleshoot data-related issues.
- Create and develop efficient data flows to support raw and transformed data.
- Provide Tier 3 technical support for deployed applications and dataflows.
- Communicate a clear product vision aligning with user needs and business goals.
- Create and manage product roadmaps that reflect innovation and growth.
- Work alongside a government product owner and a team of 7-8 full-time employees.
- Partner with the data engineering team to design and launch new features.
- Document and coordinate dataflows and capabilities.
- Occasionally support off-hours deployments as necessary, including evenings or weekends.
Description
At M9 Solutions, we are committed to delivering top-tier IT services and solutions for the Federal Government, assisting organizations in achieving enhanced performance and sustainable transformation. With experience supporting over 30 Federal Agencies and various commercial clients nationwide, we specialize in digital transformation, software development, cloud migration, cybersecurity, and talent solutions. We are searching for a Data Engineer to join our team in Bethesda, MD, who holds an active Top Secret SCI clearance. We value diverse perspectives and offer a competitive compensation package. Our company has been recognized multiple times as one of the Fastest-Growing Private Companies and we believe in making work enjoyable and fulfilling.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 3510 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?
D3 Security Management Systems, GINGER Telecom, Gatestone & Co. Inc, ID Cosmetic clinic, GE Aerospace, Confidential, TEN X TORONTO among others, are currently hiring for Data roles in the United States.
The company with most openings is Judge Group, Inc. as they are hiring for 254 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Judge Group, Inc. as they are hiring for 254 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.