Senior Data Engineer #11266

Ecco
Kansas City, MO, United States
3 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$135,200.0 - $176,800.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Agile Methodology Airflow Amazon Web Services Microsoft Azure Cloud Computing Information Systems Computer Programming Databases Information Engineering Extract Transform Load (ETL) Data Visualization
+23 more
Data Warehousing DevOps Python (Programming Language) PostgreSQL MongoDB Oracle (Applications) Power BI Cloud Services Standard Sql SQL Databases Tableau (Software) Talend Enterprise Data Management Google Cloud Snowflake Containerization Information Technology Data Analytics Non-relational Database Looker Analytics Data Pipelines Docker Programming Languages

Job description

Reason for Request: Migration from Oracle to an Enterprise data platform (snowflake) This position involves designing, developing, and maintaining scalable data pipelines, databases, and systems to ensure the efficient collection, storage, and accessibility of data. Data Engineers collaborate closely with data scientists, analysts, software engineers, and business stakeholders to ensure data is accurate, reliable, and optimized for analysis.

Requirements

Do you have experience in SQL?, Do you have a Bachelor’s degree?, * Educational Background: bachelor’s or master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.

  • Programming Proficiency: Expertise in programming languages such as Python, Java, or Scala.
  • Database Management: Strong knowledge of SQL and experience with relational and non-relational databases like Oracle, Snowflake, PostgreSQL, MongoDB…
  • Problem-Solving: Strong analytical and problem-solving skills to address complex data challenges.
  • Attention to Detail: A meticulous approach to data accuracy and process optimization.
  • Effective communication skills to consult effectively with cross-functional teams.
  • Adaptability to work in a fast-paced and dynamic environment.

Preferred skills:

  • Cloud Platforms: Experience with cloud services like AWS, Google Cloud Platform, or Microsoft Azure.
  • Data Pipelines: Hands-on experience building ETL pipelines using tools like Apache Airflow, Talend, or Informatica.
  • Familiarity with DevOps practices, including CI/CD pipelines and containerization tools like Docker and Kubernetes.
  • Certifications in cloud platforms & Snowflake (e.g., AWS Certified Data Analytics, Google Cloud Data Engineer, SnowPro Data Engineer, and SnowPro Architect).

Useful skills:

  • Domain experience with financial or insurance data and terms.
  • Data Warehouse design
  • Familiarity with Agile methodologies
  • Knowledge of data visualization tools such as Tableau, Power BI, or Looker.
  • Leadership, collaboration, and excellent communication skills

Benefits & conditions

3.73.7 out of 5 stars Kansas City, MO Remote $65 - $85 an hour - Contract, Pulled from the full job description

  • 401(k)
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Health savings account
  • Dental insurance, * 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible schedule
  • Health insurance
  • Health savings account
  • Paid time off
  • Vision insurance

Application Question(s):

  • Will you now or in the future require sponsorship for direct W2 opportunities?
  • Do you live within 100 miles of downtown Kansas City, MO?
  • Can you describe a past project where you designed a cloud-native data pipeline and how did you use cloud services for data storage, transformation, and access control?

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

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