1186 IT & Software Developer jobs in the US
Requirements
Must:
- Bachelors or masters degree in data science, statistics, computer science, economics, or a related discipline.
- Over 7 years of experience in data analytics, including at least 2 years in a leadership or mentorship capacity.
- Proficiency in SQL, Python, R, or comparable analytical tools.
- Familiarity with data visualization tools such as Power BI, Tableau, or Looker.
- Strong grasp of statistical analysis, predictive modeling, and data mining techniques.
- Experience with analytical platforms like Databricks and Snowflake.
- Excellent communication and stakeholder management abilities.
- Capability to juggle multiple projects and priorities in a dynamic environment.
- Exceptional leadership qualities to guide, mentor, and inspire teams while promoting accountability and innovation.
- Strong analytical skills with the ability to devise strategies that align with long-term goals.
- Innovative and creative problem-solving skills adept at tackling complex challenges.
Responsibilities
- Support a diverse team and deliver comprehensive data insights to resolve complex business issues utilizing advanced analytics.
- Collaborate closely with fellow Data Engineers and Scientists to achieve project objectives.
- Integrate into the PSAS Business Unit data engineering team to enhance data-driven insights.
- Coordinate with program managers and internal stakeholders to gather requirements and model evaluation criteria.
- Utilize tools and resources to strategize, assess, and implement initiatives effectively.
- Exercise strong delegation and management skills to ensure timely and high-quality work from internal and external partners, including multi-shore teams.
- Continuously refine and optimize business processes, addressing technical debt across the data landscape.
- Provide data engineering and analytics support as needed.
- Embrace automation and a mindset geared towards enterprise reusability, developing architectural solutions and fostering team consensus.
- Collaborate across Agile teams to design, build, test, implement, and support technical solutions involving a comprehensive suite of data technologies and processes.
- Enforce data governance standards in cooperation with business stakeholders, advocacy bodies, and solution teams to promote data literacy and democratization throughout the organization.
- Create scalable, reliable engineering solutions for efficient data movement across various systems from diverse internal and external sources, both in batch and real-time formats.
- Analyze structured data, implementing and scaling algorithms using advanced statistical and mathematical methods, utilizing distributed and parallel programming techniques.
- Maintain robust knowledge of infrastructure technology and comprehend public and private cloud concepts such as SaaS, PaaS, DaaS, and IaaS, with experience in infrastructure automation (IaC).
- Monitor and tune performance for various software components related to data science analytical solutions and RESTful web services.
- Familiarity with large database mining tools and statistical languages for enhancing analytical approaches, specifically experience with Snowflake, Databricks, Azure Data Factory, PySpark, Analytical SQL, Splunk, Alation, R, and Python. Experience with SAP and IBM DataStage is also valuable.
- Present findings and educate others through detailed reports and presentations.
Description
At McKesson, we are an impact-driven, Fortune 10 company that plays a crucial role in the healthcare sector by providing insights, products, and services that enhance care quality while making it accessible and affordable. We prioritize the health, happiness, and overall well-being of our employees and the communities we support. As part of our Decision Intelligence team, the Senior/Lead Data Engineer will have the opportunity to shape the future of health alongside a dedicated group of professionals. We offer a competitive total rewards package, including base pay, bonuses, and other incentives, determined by various factors like performance and market evaluations. Join us in our mission to transform healthcare.
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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 1186 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?
micro1, Varis Mine Technology Ltd, Allied Technical Solutions, Amcorritore Sales Inc., iCarCover, Inc., Environmental Dynamics International Inc, Liberty Vote among others, are currently hiring for Data roles in the United States.
The company with most openings is Jobot as they are hiring for 137 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 137 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.