Principal Data Engineer

Stable Kernel

Atlanta (GA)

Hybrid

USD 120,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Company-subsidized health, vision, and dental plans

401k with above-average matching

Paid time off

Industry educational budget

Job summary

Stable Kernel in Atlanta, GA is looking for a Principal Data Engineer to develop innovative software solutions for its diverse clients. In this full-time position, you will play a crucial role in guiding engineering projects, ensuring scalability and efficiency while mentoring others.

Preferred candidates will have extensive experience in cloud platforms, data engineering, and programming languages like Python and Go, alongside a strong educational background in Computer Science. The role offers a hybrid work model with a range of substantial benefits that support employees' well-being.

Qualifications

7-10 years of development experience.
Experience migrating legacy systems while maintaining business continuity.
Ability to translate business requirements into technical data models.
Comfortable working in ambiguous environments.

Responsibilities

Design and implement scalable and cost-effective solutions.
Clarify strategic outcomes and influence roadmaps.
Coach and mentor others in tackling ambiguity.
Propose processes to improve team throughput and employee happiness.

Skills

Software Development

Cloud Platforms (AWS, Azure, GCP)

Data Engineering

Python

Data Warehouse Design

Education

Degree in Computer Science or relevant field

Tools

Databricks

Kafka

Tableau

Git

Terraform

Job description

Stable Kernel is a technology services firm and custom software developer building scalable software solutions for cutting-edge, innovative enterprises to move their business forward. We are headquartered in Atlanta, GA.

We’re a privately held, Great Place to Work Certified Company™ with a multi-award-winning culture and an impressive 10-plus-year trajectory of sustainable growth. At Stable Kernel, we support our employees in ways that help them do some of the best work of their lives.

About the Role:

As a Stable Kernel Principal Data Engineer, you play an essential role in setting our portfolio of world-class clients up for success through the development and delivery of their most innovative, transformational initiatives. You will collaborate daily with other engineers and product team members, make decisions that influence the path of a product roadmap, leverage software development best practices, and become a more well-rounded engineer as you learn new technologies. Your knowledgeable practice, reliability, and consultative nature make you an engineer that stakeholders and teammates trust.

Principal Data Engineers may be classified as individual contributors or people managers with individual contributor responsibilities.

Core Responsibilities Include:

Technical Impact:
Designing and implementing exemplary solutions regarding scalability and cost-effectiveness by making trade-offs between opportunity and complexity.
Setting standards for codebase health and promoting best practices throughout the organization.
Business Alignment:
Clarifying strategic outcomes and influencing roadmaps and projects.
Identifying, suggesting, and driving improvements in your customers' end-to-end experience.
Aiding in estimating work for new business with more unknowns and coaching others in estimation best practices.
Interacting with Others:
Coordinating across the entire company.
Influencing the entire organization to make changes to support your work.
Advising teams across the company.
Autonomy & Ambiguity:
Designing a long-term roadmap with no direction.
Translating customer and business needs and strategic direction into projects and consistently simplifying high-complexity situations.
Coaching and mentoring others in tackling ambiguity.
Problem-Solving:
Decomposing strategic direction into projects:
Planning, communicating, and executing to solve our most challenging problems.
Ensuring alignment with long-term objectives, fostering a culture of informed decision-making and innovation.
Anticipating most risks and driving simplification to mitigate risks ahead of time.
Escalating issues while solving them in parallel ensuring others are informed.
Leadership:
Proposing new organization-level processes to improve key areas such as team throughput, employee happiness, or product engagement.
Driving best practices across the organization.
Exhibiting exceptional mentoring abilities and fostering a culture of continuous learning and improvement by
identifying and nurturing potential in others
providing strategic guidance
helping develop career paths for team members
Leading projects.
Setting the strategic direction for projects or areas of technology, leading multiple project teams, and influencing decision-making at higher organizational levels.
Exhibiting strong capabilities in stakeholder management, negotiating, and problem-solving in complex scenarios.
Mentoring and developing other leaders within the team, fostering a culture of innovation, and contributing significantly to organizational goals.

Intimate, Working Familiarity With:

Migrating production systems to ELT platforms like Databricks or Snowflake.
One or more programming languages (Mastery of Python and Go strongly preferred).
Integrating BI platforms like Tableau or Looker for business insights.
Event systems like Kafka.
Dimensional modeling and data warehouse design and migrations.
Cloud platforms (AWS, Azure, or GCP), including managed data services.
Workflow orchestration tools like Airflow, Dagster, or Databricks Workflows.
Implementing data quality frameworks and validation testing.
Infrastructure as code (Terraform, Pulumi) and CI/CD for data pipelines.
Version control practices with Git, including branching strategies for collaborative development.

General Requirements:

7-10 years of development experience.
Track record of incrementally migrating legacy systems while maintaining business continuity.
Ability to translate business requirements into technical data models.
Experience partnering with analysts and business stakeholders to define metrics and reporting needs.
Comfortable working in ambiguous environments where requirements evolve.
Degree in Computer Science or relevant field or experience.

Nice to Haves:

Experience with data catalog and lineage tools (Unity Catalog, Atlan, etc.).
Familiarity with real-time/streaming architectures alongside batch processing.

A Bit More Info:

This is a full-time position.

Stable Kernel operates a People Before Place Hybrid model, allowing most employees to choose where they can do their best work most days.

Minimal travel is associated with this role.

Benefits:

Company-subsidized health, vision, and dental plan premium options beginning on the first day of employment
401k with above-average company matching
Fully paid Group Life, Short and Long Term Disability, and AD&D insurance
Optional Flexible Spending Account and Health Savings Account participation
Voluntary Life, Critical Illness, and Accident insurance
EAP and Health Advocacy program available at no cost to employees and their dependents
$3000+ annual industry educational budget
Paid time off and paid holidays Access to Perks at Work program featuring a variety of discounted products and services

*Note – We are not sponsoring employment visas at this time. If you are currently in possession of an employment visa, it will need to be effective for at least 3 years from the date of your application for your candidacy for employment to be considered.

Stable Kernel’s culture is inclusive and expansive. We celebrate diversity in its many glorious forms and do not discriminate based on race, religion, color, national origin, gender role orientation, sexual orientation, age, marital status, veteran status, or disability status.

However, we will discriminate against those unwilling to comply with the practice of our company values: