Senior Data Engineer
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- Proposals: 17
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Description
Experience Level: Expert
Quick take: Axios is a growth-stage company dedicated to providing trustworthy, award-winning news content in an audience-first format. We’re hiring a remote Senior Data Engineer to join our Consumer Insights data team! Why it matters: As a Senior Data Engineer, this person will collaborate with other data engineers, scientists, analysts, and product managers to drive forward data initiatives across mission-critical Axios products. The team is responsible for analyzing consumer behavior, preferences, and feedback, to allow Axios to tailor products, services, and marketing strategies effectively. Go deeper: As a Senior Data Engineer, you will play a leadership role in building and delivering solutions to problems in an intelligent and nuanced way. In this role, you will make an impact on Axios through the following responsibilities: • Architect and build data products and features that provide consumer insights about Axios’ audience • Hands-on development and execution against the team’s roadmap in collaboration with other data engineers, analysts, scientists, and quality engineers. • Technical and architectural decision-making • Develop and maintain data pipelines and warehouses to support Axios in data-informed decision-making • Writing clean, well-documented, and well-tested code primarily in SQL/Python • Provide technical insights, and feasibility assessments, communicate technical constraints to the team’s Product Manager • Estimate efforts of technical implementation to aid in planning and sequencing of developmental tasks • Mentoring less experienced members of the team through pair programming and empathetic code review • Share knowledge through presenting at data chapter meetings and demoing to team members and stakeholders • Staying up to date with industry trends and collaborating on best practices The details: Ideal candidate should have an entrepreneurial spirit, be highly collaborative, exhibit a passion for building technology products, and have the following qualifications: • Experience with or knowledge of Agile Software Development methodologies • Experience building data applications in languages such as (but not limited to) Python, SQL, Bash, Jinja, Terraform • Experience designing, building, and maintaining data pipelines to produce insights • Experience with functional design and dimensional data modeling • Experience with DBT and semantic data models • Experience with data pipeline development and data orchestration systems such as Airflow • Practical experience with columnar data warehouses, such as Redshift • Experience working with CI/CD pipelines and understanding best deployment practices for data products • Proven ability to ship high-quality, testable, and accessible code quickly • Experience working in and around cloud providers such as AWS
Larry C.
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Last project
2 May 2024
United States
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