3686 IT & Software Developer jobs in the US
Requirements
Must:
- Bachelors degree in Information Systems, Computer Science, Engineering, or a related STEM field required; advanced degree preferred.
- Over 7 years of progressively responsible experience in data engineering, extraction, management, or similar technical roles.
- Proven experience leading intricate data projects and cross-functional initiatives.
- Strongly preferred: prior client-facing or consulting experience.
- Experience with enterprise databases, ERP systems, or extensive structured data environments is required.
- Prior management or team leadership experience is a plus.
- Advanced understanding of SQL and relational database systems.
- Proficient in Python and/or other scripting languages.
- Familiarity with ETL tools and modern data processing platforms.
- Skilled in Microsoft Office Suite.
- Strong leadership and team development skills.
- Expertise in project and stakeholder management.
- Comprehensive knowledge of data lifecycle management and quality principles.
- Capable of handling large, complex datasets across diverse formats and systems.
- Excellent analytical, problem-solving, and decision-making abilities.
- Exceptional written and verbal communication skills.
- Ability to juggle multiple priorities in a dynamic environment.
- Preferred: experience with automation strategies and process improvement.
- Implementation experience with major ERP systems is advantageous.
- Knowledge of agile project management methodologies is a bonus.
- Experience with governmental data sources or regulated environments is preferred.
- Background in property tax or related fields is a plus.
- A valid drivers license is required.
Responsibilities
- Lead the strategy, design, and execution of data acquisition, extraction, normalization, and analytics solutions.
- Oversee the entire data lifecycle, guaranteeing efficient and high-quality data processes across various systems and formats.
- Collaborate cross-functionally with teams in Data Acquisition, Delivery, Consulting, and Technology to align data solutions with business goals.
- Encourage operational excellence, automation, and ongoing enhancement of data processes.
- Foster a positive team environment through leadership, mentorship, and professional growth opportunities.
- Provide direct oversight, including goal setting, performance evaluations, coaching, workload distribution, and career development planning.
- Enhance team capabilities through technical guidance, training, and sharing knowledge.
- Promote collaboration among Data Acquisition, Extraction, Delivery, Consulting, and Technology teams for optimal alignment and efficiency.
- Support recruitment, onboarding, and skills development initiatives to elevate team performance.
- Work with internal stakeholders and external clients to define data requirements and develop solution strategies.
- Ensure the successful acquisition, extraction, validation, and delivery of data for client engagements.
- Validate data accuracy and completeness across various ERP systems and other data sources.
- Manage intricate data initiatives, timelines, and communication with stakeholders to guarantee timely high-quality outputs.
- Tackle escalated data issues and offer strategic advice on data challenges.
- Direct the end-to-end data processing lifecycle, encompassing acquisition, transformation, normalization, validation, and deployment.
- Supervise the development and implementation of scalable data extraction and automation tools.
- Set data quality standards, governance practices, and efficiency improvements to enhance operational performance.
- Provide technical oversight for large-scale data processing using contemporary database technologies and ETL frameworks.
- Promote initiatives for continuous improvement, focusing on automation, reduced manual effort, and improved delivery timelines.
- Utilize agile project management methodologies to track progress, mitigate risks, and report status to leadership.
- Ensure that data solutions align with broader business strategies and client service objectives.
Description
We are a dynamic company offering hybrid work options, an award-winning culture, and a comprehensive benefits package. Our generous personal time off (PTO) policy includes 14 weeks of fully paid leave for new parents and benefits that are effective from day one of employment. We also provide monthly reimbursements for gym memberships or equipment, along with a 401K plan featuring employer matching. Our commitment to employee development includes tuition reimbursement after one year of service and a fertility assistance program. After five years with us, youll become eligible for a four-week company-paid sabbatical. Join a collaborative team dedicated to delivering innovative data solutions while enjoying a supportive work environment.
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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 3686 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?
Allied Technical Solutions, KUBRA, D3 Security Management Systems, GINGER Telecom, Steinbach Credit Union, Transport-Bourassa, Gatestone & Co. Inc among others, are currently hiring for Data roles in the United States.
The company with most openings is Lockheed Martin Corporation as they are hiring for 348 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Lockheed Martin Corporation as they are hiring for 348 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.