SRE Data Engineer

Our team thrives and succeeds in delivering high quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.

Position Responsibilities

As a Senior Engineer, you will:

• Utilize programming languages such as SQL, C# or other object-oriented languages, Java, JS, Python, various SQL/NoSQL databases and data management tools
• Utilize various analytics and data processing tools to cleanse, stage, transform, prepare, and curate data to gain in-depth insight and modeling capability
• Engage in cross-functional collaboration throughout the entire software lifecycle 
• Build product definition and leverage technical skills to drive towards the right solution
• Build product definition and leverage your technical skills to drive towards the right solution

• Lead design sessions and code reviews with peers to elevate the quality of engineering across the organization
• Define, create, and support reusable application components/patterns from a business and technology perspective
• Mentor other engineers
• Consistently share best practices and improve processes within and across teams

Qualifications

• Analysis and Estimation skills
• Strong problem-solving ability  
• Strong oral and written communication skills 
• Ability to excel in a fast-paced, startup-like environment
• Knowledge of CS data structures and algorithms 
• Programing experience with one or more languages such as Python, Java, Go.
• Advance experience with Enterprise Reporting Tool such as Power BI or Grafana
• Familiarity with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, or Snowflake
• Familiarity with HTML-5, XML, and JSON
• Understanding of Web Service APIs with technologies such as Rest and GraphQL
• Understanding of security protocols and products such as of Active Directory, Windows Authentication, SAML, OAuth
• Understanding of the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems
• Understanding of Datacenter structure, capabilities, and offerings, including the Azure platform, and its native services 
• Advanced understanding of DevOps concepts including Azure DevOps framework and tools
• Advance understanding of infrastructure as code
• Knowledge of Git, CICD and developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
• Knowledge of Open-Source Framework
• Advance experience with App Insight, Grafana, Splunk, Dynatrace etc.

• Advanced understanding of Vulnerability reports (Veracode scans)
• Advanced understanding of monitoring concepts and tooling
• Advanced understanding of security protocols and products
• Utilize various analytics and data processing tools to cleanse, stage, transform, prepare, and curate data to gain in-depth insight and modeling capability
• Advance experience with shell scripting
• Solid understanding of container orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
• Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)
• Experience with relational and non-relational database technologies such as SQL, Oracle, COSMOS, NoSQL, Cassandra, MongoDB
• Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies
• Advance experience with metadata management, data Ingestion, data management, data quality, and data lineage services and technologies
• Experience with SQL query language and relational database concepts
• Advance understanding of API development and integration, Spring Boot framework and other Spring technologies
• Design and implement enterprise data governance solutions
• Design and implement data quality and data lineage solutions
• Scope, design, and build scalable, resilient distributed systems
• Lead design sessions and code reviews to elevate the quality of engineering across the organization
• Experience with version control such as GIT
• Experience with Big Data technologies such as HBase, Hive, Spark, Kafka, Graph DB and Cassandra
• Experience with Load test tooling (Gatling or equivalent)
• Proven understanding of microservices oriented architecture and extensible REST APIs and GraphQL

Experience

• 4+ years of professional software or data analytics engineering experience
• 3+ years of experience with Data visualization tools
• 3+ years of experience with AWS, GCP, Azure, or hybrid data center
• ​2+ years of experience in open source frameworks​

Education

• Bachelor’s degree in computer science, Information Systems, or equivalent education or work experience

#LI-AL1

 

Annual Salary

$76,000.00 - $236,500.00

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.

 

Benefits:

As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:

• Premier Medical, Dental and Vision Insurance with no waiting period**
• Paid Vacation, Sick and Parental Leave
• 401(k) Plan
• Tuition Reimbursement
• Paid Training and Licensures

*Benefits may be different by location.  Benefit eligibility requirements vary and may include length of service.

**Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect.

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.