Thehartford

Thehartford

Senior Staff Data Engineer

Hartford, CT · Staff+

No sponsorship$135k-$203kDetected 12 days ago
PythonDistributed SystemsAlgorithmsGitSQLNoSQLSnowflakeAWSGCPAzureCI/CDDevOpsKafkaSparkData EngineeringData ScienceEHR/EMRResearchLeadershipUnderwritingHadoop

About the role

  • Join our team as we help shape the future.
  • This role combines deep technical expertise with strong partnership across Underwriting, Product and Enterprise Data teams.

Responsibilities

  • Accountable for building small or medium-scale pipelines and data products.
  • Build and implement capabilities for continuous integration and continuous delivery aligned with Enterprise DevOps practices.
  • Independently review, prepare, design and integrate complex (type, quality, volume) data, correcting problems and recommend data cleansing/quality solutions
  • Document technical requirements and present complex technical concepts to audiences of varying sizes and levels.
  • Implement, and test data processing pipelines, and data mining/data science algorithms on a variety of hosted settings (AWS,Client technology stacks)
  • Support the development and implementation of project and portfolio strategy, roadmaps and implementation

Requirements

  • Candidates must be authorized to work in the US without company sponsorship.
  • Must have hands on experience in Snowflake, Oracle, Informatica Cloud/Power center, Github
  • Must have hands-on experience and knowledge on replication tools like Qlik, Informatica mass ingestion, Shareplex, open flow, DMS
  • Must be familiar with ETL using Pyspark/Python/snowflake native features
  • Must be familiar with AWS services such as EMR, S3, Lambda
  • Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role.
  • Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
  • 8+ years of data engineering experience and best practices in Distributed systems, Data warehousing solutions SQL and NoSQL, ETL tools, CICD, Bigdata, Cloud Technologies (AWS/AZURE), Python/Spark, Data mesh and Data Lake, Data Fabric
  • Certifications on Cloud services such as AWS/GCP and Snowflake
  • Familiar with AI tools/tech stack

Nice to have

  • Certifications on AI foundation
  • Hands-on experience with AWS Bedrock and Google Vertex
  • Nice to have qualifications:

Skills

  • Sr Staff Data Engineer - GE07DE
  • Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too.

Compensation

  • The listed annualized base pay range is primarily based on analysis of similar positions in the external market.
  • Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role.
  • The base pay is just one component of The Hartford's total compensation package for employees.
  • Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.
  • $135,040 - $202,560

Benefits

  • About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Equal opportunity

  • Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
  • Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

Visa & Work Authorization

  • Candidates must be authorized to work in the US without company sponsorship.
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