Principal Marketing Data Ops Engineer II

Posted Yesterday
Be an Early Applicant
10 Locations
In-Office
Senior level
Insurance
The Role
Build instrumentation and batch/streaming ETL/ELT pipelines and REST API integrations to generate audience and trigger data for CRM/marketing automation. Ensure data quality, monitoring, and reliability at scale while collaborating with CRM, campaign, and operations teams.
Summary Generated by Built In

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

 

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

 

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

GEICO's Independent Agent organization runs an enterprise-scale messaging automation platform that powers customer email and SMS across sales, service, and claims journeys. We're looking for a hands-on data/software engineer to build the instrumentation and event pipelines that feed campaign and journey triggers - especially where the data doesn't exist yet. You'll work directly with CRM/marketing automation engineering and campaign operations teams to make audience and event data available, reliable, and easy to use.

What you'll build

  • Instrumentation and event pipelines that generate audience/trigger data for CRM and marketing automation platforms where it doesn't already exist
  • Batch and streaming ETL/ELT pipelines connecting campaign, CRM, and customer data across multiple sources
  • REST API integrations between internal data systems and CRM/marketing automation platforms
  • Data quality checks and monitoring to keep campaign-critical pipelines reliable at scale

What you'll bring

  • 7+ years building data tools/pipelines in Python, Scala, or similar languages
  • 7+ years working in SQL against enterprise data warehouses (Snowflake, Databricks, or similar)
  • 5+ years building ETL/ELT pipelines (batch or streaming) from files, databases, and APIs
  • 5+ years working with cloud infrastructure (Azure, AWS, or GCP) and DevOps practices
  • Comfort integrating systems via REST APIs
  • BA/BS in Computer Science, Information Technology, Mathematics, Engineering, or related field

How you'll work

  • Strong organizational and prioritization skills; comfortable following complex, multi-step instructions and resolving conflicting priorities
  • Able to juggle multiple concurrent projects without losing track of details
  • Quick to pick up new technical concepts and adapt to new tools and technologies
  • Familiar with infrastructure tooling and able to work within established engineering standards and processes
  • Comfortable mentoring or training teammates on systems you own
  • Clear, concise communicator — able to explain technical work to both engineering and business stakeholders
  • Comfortable working under pressure and shifting priorities in a fast-paced environment

Nice to have

  • Hands-on experience with CRM/marketing automation SaaS platforms (e.g., Microsoft Dynamics, Statsig, Azure Data Factory, Snowflake)
  • Exposure to AI-assisted development tools

#LI-HB1


 

Annual Salary

$0.00 - $0.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.


 

At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company: Protecting customers through life’s twists and turns with innovation and integrity.

Great Careers: Personalized development programs, mentorship, and certification assistance.

Great Culture: Inclusive and collaborative culture rooted in shared success.

Great Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.

 

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

 

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Skills Required

  • 7+ years building data tools/pipelines in Python, Scala, or similar languages
  • 7+ years working in SQL against enterprise data warehouses (Snowflake, Databricks, or similar)
  • 5+ years building ETL/ELT pipelines (batch or streaming) from files, databases, and APIs
  • 5+ years working with cloud infrastructure (Azure, AWS, or GCP) and DevOps practices
  • Comfort integrating systems via REST APIs
  • BA/BS in Computer Science, Information Technology, Mathematics, Engineering, or related field
  • Familiarity with infrastructure tooling and working within established engineering standards and processes
  • Strong organizational and prioritization skills; able to manage multiple concurrent projects
  • Comfortable mentoring or training teammates on systems you own
  • Hands-on experience with CRM/marketing automation SaaS platforms (e.g., Microsoft Dynamics, Statsig, Azure Data Factory, Snowflake)
  • Exposure to AI-assisted development tools

GEICO Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GEICO and has not been reviewed or approved by GEICO.

  • Healthcare Strength Healthcare coverage is described as comprehensive, spanning medical, prescription, behavioral health, dental (including orthodontia), and vision options with multiple plan types. Wellness resources, HSAs/FSAs, and related programs add breadth to the core health offering.
  • Retirement Support Retirement support includes a 401(k) with an employer match, and the match level is still characterized as good even after adjustments. Access to a credit union and financial education tools further strengthens the overall retirement/financial support picture.
  • Flexible Benefits Work-life programs provide flexibility through hybrid scheduling and limited remote-work options, alongside a broad menu of ancillary benefits such as commuter pre-tax programs, employee discounts, and charitable gift matching. Education support via tuition assistance and scholarships adds additional optionality for different needs.

GEICO Insights

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The Company
HQ: Chevy Chase, MD
26,259 Employees
Year Founded: 1936

What We Do

We know you know GEICO, but we want you to know that with us, you’ll find a rewarding career no matter which path you take. Our over 40,000 associates have been unexpectedly delighted to find that their jobs have turned into illuminating careers. You know us for insurance. Get to know us for great careers, too.

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