Senior Data Engineer, Centerfield
$157.1k
+ Semi-annual bonus
More information about location
Customer acquisition enablement platform
Be an early applicant
Customer acquisition enablement platform
1001+ employees
Be an early applicant
$157.1k
+ Semi-annual bonus
More information about location
1001+ employees
Company mission
To provide client companies with super-powered customer acquisition tools, boosting sales, profitability, growth, and loyalty.
Role
Who you are
- Master’s degree or foreign equivalent in Information Systems, Data Science, Data Analytics, Computer Science, Computer Engineering, or related field
- Three (3) years of work experience in the position offered, as a Data Engineer, Software Developer, or related occupation
- Must have experience with the following:
- Working in a production data environment, with responsibility for building, maintaining, and supporting data pipelines and platforms
- Leading cloud data migrations and platform modernization efforts, including planning, execution, and support of production systems during and after migration
- BigQuery, Snowflake, and cloud-based data architectures, including designing, optimizing, and operating scalable data solutions in cloud environments
- Migrating, supporting, and maintaining BI and reporting platforms such as Looker (Mode experience), including ensuring data accuracy, performance, and reliability of reporting
- SQL (Structured Query Language) and Python, with demonstrated ability to troubleshoot and resolve complex data quality, performance, and integration issues
- Working with ETL/ELT (Extract, Transform, Load) tools (Talend) and modern data pipeline patterns, including data ingestion, transformation, orchestration, and monitoring in production environments
- Building and managing marketing data integrations, including integrations with search engines, social media platforms, and other third-party marketing data sources
- Internal and external API (Application Programming Interface) integrations, including ingesting, validating, and maintaining data from third-party and internal systems
- Data warehousing concepts, including dimensional modeling, performance optimization, and cost-aware design in cloud data platforms
- Own and deliver complex technical solutions end-to-end (design, implementation, and support) using distributed systems, cloud platforms (one of the following: AWS (Amazon Web Services),
- GCP (Google Cloud Platform), Azure), data frameworks (one of the following: Spark, Kafka), and programing languages (one of the following: Python, C#, SQL), while prioritizing effectively and balancing speed, quality, and long-term goals
- Work independently while collaborating cross-functionally (engineering, analytics, product, and business), using tools such as Git, Jira, and BI platforms (one of the following: Tableau, Looker, Power BI), and proactively managing workstreams and contributing to team standards; and
- Communicating complex technical concepts to diverse audiences, translating data architecture into clear documentation and diagrams using tools including Miro Lucidchart, draw.io, Confluence, and Notion
What the job involves
- As a Senior Data Engineer, you’ll build software for end-to-end data platform migrations, including legacy system analysis, solution design, execution, validation, and decommissioning of obsolete platforms
- Build software for end-to-end data platform migrations, including legacy system analysis, solution design, execution, validation, and decommissioning of obsolete platforms
- Own and drive large-scale software migrations such as Snowflake to BigQuery, including downstream reporting transitions to Looker
- Design and implement scalable, reliable software data pipelines supporting business analytics
- Serve as a subject matter expert (SME) for software data flows, pipelines, and reporting logic
- Ensure operational stability and data quality during critical business periods (e.g., AEP (Annual Enrollment Period)), diagnosing and resolving software production issues
- Proactively identify data dependencies, risks, and optimization opportunities across software systems
- Partner with analytics, BI (Business Intelligence), and business stakeholders to deliver trusted, performant data solutions
- Provide technical guidance to peers and help raise overall software engineering standards across the team
- Take ownership of projects from design through production, including documentation and knowledge transfer
Our take
Centerfield supplies an owned and operated website and technology platform, Dugout, to automate end-to-end customer acquisition for personalised shopping experiences across business, insurance, residential, and eCommerce.
Specialising in customer acquisition, the company's system measures online interactions and click-to-call performance, tests and reports on customer experiences, and automates ad and bid optimisation. Clients enjoy increases in activation rates and productivity, as well as access to new revenue.
Centrefield continues to bolster its offerings through smart acquisitions, which allow it to serve additional industries as it expands. The company has supported a range of different clients, including household brands such as AT&T and Macy’s.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (1 round)
Jan 2017
$156m
GROWTH EQUITY VC
Total funding: $156m
Company benefits
- Semi-Annual Bonuses
- Family Planning Benefits
- $500 WFH Stipend
- Flexible PTO
- Company 401k Match
- Fitness Reimbursement
- Learning & Development
- Mental Health Support
- Health, Vision, and Dental Benefits
Company HQ
Playa Vista, Los Angeles, CA
Leadership
Brett Cravatt
(Co-CEO)They worked as an Attorney as Loeb & Loeb for a year before spending a decade as COO and CEO of Vendare and WebYES! respectively.
Jason Cohen
(Co-CEO)They started their career as a Sales Executive at DoubleClick before founding and exiting from several successful Performance Marketing companies.
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