Senior Data Engineer
Conagra Brands3 months ago
Base Salary
$82k - $120k/yr
Responsibilities
- Develop and iterate data engineering pipelines, dashboards, reports, and insights.
- Translate stakeholder questions and data needs into actionable engineering and reporting requirements.
- Provide expertise on data engineering tools, visualization tools, concepts, and best practices.
- Translate complex data engineering requirements from concept through implementation.
- Collaborate with Analytics, Data Science, Technology, and Information Technology teams to advance self-service analytics.
- Gather requirements hands-on, build pipelines, and create dashboards.
- Define data usage best practices, policies, and procedures with cross-functional partners.
Requirements
- Bachelor’s degree.
- At least 3 years of experience building data pipelines using Databricks, SQL, and PySpark, with Snowflake experience.
- At least 3 years of experience with relational and cloud databases such as SQL Server, Oracle ADW, Snowflake, or Redshift.
- Experience with data lake, data warehousing, and dimensional modeling concepts.
- Experience with Microsoft Azure components including ADLS, Azure Key Vault, and Azure DevOps.
- Experience supporting a self-service dashboarding environment and working with modern analytics tools, technologies, and frameworks.
- Interest in exploring innovative uses of data.
- Preferred experience applying AI functions in production pipelines.
- Preferred experience with Azure Data Factory or Informatica.
- Preferred 3+ years of experience with data visualization tools such as Power BI or Sigma.
Benefits
- Three days in the office per week in a hybrid work arrangement.
- Comprehensive healthcare plans, wellness incentives, mental wellbeing support, and fitness reimbursement.
- Bonus incentive opportunity, matching 401(k), and stock purchase plan.
- Career development opportunities, employee resource groups, on-demand learning, and tuition reimbursement.
- Paid time off, parental leave, flexible work schedules, and volunteer opportunities.
Categories
Data Engineering