1 день назад
Senior Engineer (Data Engineering)
140 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer (Data Engineering): Designing and developing enterprise data pipelines, data quality frameworks, and reusable components for reporting and analytics with an accent on Hadoop, Spark, Kafka, Snowflake, Databricks, Python, and Scala. Focus on architecting heterogeneous data lakes, improving CI/CD and observability, and building resilient, scalable data platforms.
Location: Based out of 's headquarters in Minneapolis, Minnesota, with the option to telecommute from a home office anywhere in the United States.
Salary: At least $140,000 per year.
Company
provides financial services focused on helping people manage money and live balanced and generous lives.
What you will do
- Design and implement data quality frameworks with business and technical stakeholders.
- Develop core software, enterprise data pipelines, and reusable components for reporting and analytics.
- Define and optimize data ingestion patterns with enterprise source system teams.
- Build engineering standards, templates, frameworks, monitoring, and observability for reliable data pipelines.
- Expand CI/CD practices and participate in support rotations and technology vendor proofs of concept.
- Provide technical guidance, training, mentoring, and interview support for junior engineers and candidates.
Requirements
- Bachelor's or foreign equivalent degree in Applied Computer Science, Management Information Systems, Computer Science, or a related field.
- At least 5 years of progressive post-baccalaureate experience as a data engineer, specialist, consultant, or in a closely related role.
- At least 5 years of experience with Hadoop, Spark, Spark Streaming, Kafka, Hive, Oracle, SQL Server, DB2, Snowflake, Databricks, IICS, Informatica PowerCenter, and Zena.
- At least 3 years of experience with Python and Scala.
- Demonstrable experience with star-schema data warehouse modeling, Snowflake and Databricks data modeling, reusable frameworks, test cases, and reporting components.
- Experience building enterprise data lakes, optimizing large-volume heterogeneous data pipelines, defining data architecture and standards, and delivering technical proofs of concept.
Culture & Benefits
- Medical, dental, and vision insurance.
- Health savings account, flexible spending account, 401(k), pension, life, disability, and supplemental protection insurance.
- 20 days of paid time off, sick and safe time, 10 paid company holidays, and volunteer time off.
- Paid parental leave, employee assistance, well-being benefits, and potential bonus or incentive programs.
- Leadership expectations emphasize courage, collaboration, accountability, continuous improvement, employee engagement, and commitment to clients.
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