Chevy Chase, MD, USA
28 days ago
Senior SRE Data and Analytics Engineer
Position DescriptionOur Senior Engineer is a key member of the engineering staff working across the organization to ensure that we provide a friction-less experience to our customers and maintain the highest standards of protection and availability. 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 toolsUtilize various analytics and data processing tools to cleanse, stage, transform, prepare, and curate data to gain in-depth insight and modeling capabilityEngage in cross-functional collaboration throughout the entire software lifecycle Build product definition and leverage technical skills to drive towards the right solutionBuild product definition and leverage your technical skills to drive towards the right solutionLead design sessions and code reviews with peers to elevate the quality of engineering across the organizationDefine, create, and support reusable application components/patterns from a business and technology perspectiveMentor other engineersConsistently share best practices and improve processes within and across teams

QualificationsPrograming experience with one or more languages such as Python, Java, Go.Advance experience with App Insight, Grafana, Splunk, Dynatrace etc.Advance experience with Enterprise Reporting Tool such as Power BI or GrafanaFamiliarity with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, or SnowflakeExperience with relational and non-relational database technologies such as SQL, Oracle, COSMOS, NoSQL, Cassandra, MongoDBExperience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologiesAdvance experience with metadata management, data Ingestion, data management, data quality, and data lineage services and technologiesExperience with SQL query language and relational database conceptsExperience with Big Data technologies such as HBase, Hive, Spark, Graph DB and CassandraProven understanding of microservices oriented architecture and extensible REST APIs and GraphQLAnalysis and Estimation skillsStrong problem-solving ability  Strong oral and written communication skills Ability to excel in a fast-paced, startup-like environmentKnowledge 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 GrafanaFamiliarity with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, or SnowflakeFamiliarity with HTML-5, XML, and JSONUnderstanding of Web Service APIs with technologies such as Rest and GraphQLUnderstanding of security protocols and products such as of Active Directory, Windows Authentication, SAML, OAuthUnderstanding of the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systemsUnderstanding of Datacenter structure, capabilities, and offerings, including the Azure platform, and its native services Advanced understanding of DevOps concepts including Azure DevOps framework and toolsAdvance understanding of infrastructure as codeKnowledge 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 FrameworkAdvanced understanding of Vulnerability reports (Veracode scans)Advanced understanding of monitoring concepts and toolingAdvanced understanding of security protocols and productsUtilize various analytics and data processing tools to cleanse, stage, transform, prepare, and curate data to gain in-depth insight and modeling capabilityAdvance experience with shell scriptingSolid understanding of container orchestration services including Docker and Kubernetes, and a variety of Azure tools and servicesKnowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)Advance understanding of API development and integration, Spring Boot framework and other Spring technologiesDesign and implement enterprise data governance solutionsDesign and implement data quality and data lineage solutionsScope, design, and build scalable, resilient distributed systemsLead design sessions and code reviews to elevate the quality of engineering across the organizationExperience with version control such as GITExperience with Load test tooling (Gatling or equivalent)Experience4+ years of professional software or data analytics engineering experience3+ years of experience with Data visualization tools3+ years of experience with AWS, GCP, Azure, or hybrid data center​2+ years of experience in open source frameworks​EducationBachelor’s degree in computer science, Information Systems, or equivalent education or work experience

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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 Leave401(k) PlanTuition ReimbursementPaid 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.

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