Cloud Data Engineer III

Habemco; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading company is seeking a Cloud Data Engineer III to collaborate on data solutions and support existing analytics. The role requires expertise in cloud technologies and data integration, with a focus on delivering robust solutions for data-driven decision-making.

Benefits

Competitive pay and benefits

Quarterly bonuses

401(k) with 4% match

Qualifications

• 4+ years of experience in Big Data, cloud platforms, and ETL.
• Expertise in data lakes, data architecture, and AWS services.

Responsibilities

• Manage solutions across technology platforms and optimize application code.
• Deliver operational automation and tooling to reduce manual tasks.
• Collaborate with teams to create insights and reports.

Skills

SQL

Problem Solving

Communication

Mentorship

Adaptability

Education

Bachelor's degree in Computer Science or Engineering

Tools

AWS Glue

MS-SQL Server

Redshift

Python

Spark

PySpark

Boto3

Job description

Direct message the job poster from Habemco

Lead Technical Recruiter at DHI Group, Inc.

Habemco is a shared services company wholly owned and operated by the Habematolel Pomo of Upper Lake, a federally recognized Native American tribe in Northern California. Habemco provides support services such as product development and technology to foster business growth, empower the Tribe's economy, and support education, healthcare, and elder programs for the Tribal community. Our talented team offers cross-functional support to various tribal business and government entities, playing a critical role in ensuring a successful future for our customers, employees, and the Tribe.

Headquartered in a remote part of California, the Tribe recognizes the need for expertise nationwide to compete in industries like FinTech. Our team includes remote workers and employees at our Upper Lake, California headquarters and a campus in Lenexa, Kansas.

Employees enjoy competitive pay and benefits, quarterly bonuses, and a 401(k) with a 4% match. We are a creative, forward-thinking, passionate team that moves fast! Are you ready to grow with us?

Purpose of the Position

The Cloud Data Engineer III collaborates with stakeholders and architects across Business and IT to review requirements and design data solutions aligned with organizational strategies. The role involves supporting existing data integration and analytics solutions and developing new data-driven decision-making tools. The work is generally independent and collaborative, contributing to moderately complex projects.

Key Responsibilities

1. Manage and align solutions across technology platforms, working closely with architects, data, and infrastructure teams to optimize application code, ensuring data integrity, security, stability, resiliency, sustainability, growth, and performance.
2. Conduct design and code reviews to ensure compliance with standards.
3. Participate in knowledge sharing and resolve technical issues.
4. Produce high-quality, robust, efficient, testable, and maintainable code.
5. Deliver operational automation and tooling to reduce manual tasks.
6. Create and maintain systems for loading and transforming large data sets from various sources.
7. Translate business goals into appropriate technical cloud solutions.
8. Serve as a subject matter expert for technologies like MS-SQL Server, Redshift, AWS Glue, DMS, Step Functions, Lambda, Iceberg tables, Athena, and AWS Data Pipelines.
9. Design cloud-based solutions for Data, Infrastructure, and Applications.
10. Collaborate with Software Engineering teams and Product Owners to include new data sources and deploy schema changes.
11. Work with Data Scientists and Business Intelligence teams to create insights and reports.
12. Perform daily monitoring, administration, repair, and maintenance of databases.
13. Automate tasks using Bash or PowerShell scripting.
14. Proficiency with Boto3 library for AWS interactions.
15. Participate in on-call support for production systems during off-hours.
16. Attend in-person meetings and travel as needed.
17. Perform other duties as assigned.

Education and Experience

Required:

• Bachelor's degree in Computer Science or Engineering from an accredited university.
• 4+ years of related experience, including expertise in Big Data, data streaming, data lakes, cloud platforms, ETL, Data Modeling, Data Architecture, Spark, PySpark, EMR, Python scripting, data warehouse design, AWS services, and work authorization without future visa sponsorship requirements.

Preferred:

• AWS certifications (Solutions Architect or Data Engineer).
• Experience with large data warehouses/lakes, low-latency data pipelines, AWS microservices, and end-to-end AWS solutions architecture.

Skills and Abilities

• Expert SQL skills, data handling, lineage, quality, and discoverability.
• Knowledge of distributed systems, data architecture, batch and stream processing, and optimization.
• Strong problem-solving, prioritization, communication, mentorship, and adaptability skills.
• Ability to work in fast-paced, confidential environments with excellent interpersonal and communication skills.

Physical Requirements

• Prolonged sitting, verbal communication, and travel as needed.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology