Senior Data Engineer (Pipeline)
DemandbaseSalary not specified
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
B2B Marketing, Marketing TechnologyIndustries
Requirements
- On-site working at the ML physical office, 5-days per week required
- Ability to work UK Shift Timing (11:00am – 8:00pm Local Time) required
- Fluent in English language (verbal and written) and possessing a clear and concise communication style
- Bachelor's degree in computer science, statistics, or mathematics
- 5+ years of experience with Python, with the ability to write production-level code
- 5+ years of experience in SQL, with excellent skills in navigating multiple data tables and comprehending data models
- 3+ years of hands-on experience with cloud computing services, particularly AWS
- Proven experience in designing data architectures, including Kafka, Data Warehouses, and Operational Data Stores (ODS)
- Strong understanding of cloud-based analytics platforms, such as Snowflake and AWS SageMaker
- Ideally, at least 1 year of experience with data workflow management
Responsibilities
- Develop and maintain the core data pipelines, involving the creation of production-level SQL and Python code to fuel our platforms
- Adapt and enhance data models and data schemas to align with both business and engineering requirements
- Conduct data analysis to contribute to the enhancement of overall business performance
- Identify and select optimal data sources for specific analytical tasks
- Establish procedures for data mining, data modeling, and data production
- Collaborate with internal and external partners to address challenges and ensure successful outcomes
- Design, construct, and deploy scalable data pipelines
- Develop APIs that will empower our machine learning products and features
- Refine data models across various components of our data infrastructure
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary for this Senior Data Engineer position?
This information is not specified in the job description.
Is this role remote or on-site?
The position requires on-site working at the ML physical office, 5-days per week.
What skills are required for the Senior Data Engineer role?
The role requires production-level SQL and Python code development, data modeling, data analysis, and collaboration with product, engineering, and data teams.
What is the company culture like at Madison Logic?
Madison Logic has a diverse culture free from bias, emphasizing values like Urgency, Accountability, Innovation, Respect, and Integrity, with a fun, collaborative team that cares about individual success.
What makes a strong candidate for this Senior Data Engineer position?
Strong candidates will have expertise in designing scalable data pipelines, developing APIs for machine learning, refining data models, and experience in highly collaborative environments with product, engineering, and data teams.
Madison Logic
Provides Account-Based Marketing solutions
About Madison Logic
Madison Logic provides Account-Based Marketing (ABM) solutions aimed at helping businesses improve their sales processes and marketing returns. Their services include ABM Content Syndication, ABM Display Advertising, and LinkedIn Social Advertising, which focus on delivering relevant content to potential customers at key moments in their buying journey. Madison Logic's offerings integrate with major platforms like Marketing Automation Platforms and Customer Relationship Management systems, facilitating better collaboration and informed decision-making based on data. Unlike many competitors, Madison Logic operates on a subscription and performance-based pricing model, ensuring clients can see tangible results in terms of pipeline growth and revenue. The company's goal is to assist enterprises in optimizing their marketing strategies to drive faster revenue generation on a global scale.
New York City, New YorkHeadquarters
2005Year Founded
$972.7KTotal Funding
EARLY_VCCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees
Benefits
Health insurance - Insurance plans that meet the needs of you and your family, with generous contributions.
Mental health - Access to Employee Assistance Programs and wellness benefits.
Retirement benefits - 401k (US) and Pension (international) plans with a generous annual employer match.
Educational benefits - Educational reimbursement (global) and employer-paid student loan contributions (US).
Professional development - Global mobility program and access to LinkedIn Learning materials.
Employee recognition - Receive points each month and recognize peers for a job well done!
Monthly allowance - Monthly allowance valued at $100 per month to redeem in gift cards or cash.
Anniversary rewards - Get rewarded each year for your anniversary at Madison Logic.
Paid time off - Flex days, volunteer days, and generous PTO.
Flexible or remote work - Work from home or create a hybrid schedule if you are near an office location.
Legal & Financial Services Benefits
Wellness Initiatives like Gym Membership Discounts
Employer-paid Life, AD&D and Short-term Disability insurance.
Risks
Shift towards consumer channels may dilute B2B focus.
Over-reliance on AI tools could impact personalized customer interactions.
Dependency on third-party technologies like Gong may pose risks if partnerships change.
Differentiation
Madison Logic integrates seamlessly with major platforms like CRM and LinkedIn.
The ML Platform uses proprietary data to identify accounts likely to purchase.
Madison Logic offers a comprehensive suite of ABM services, including content syndication and display advertising.
Upsides
Increased investment in AI tools enhances Madison Logic's data-driven strategies.
Integration with Gong boosts sales and marketing collaboration for smarter decision-making.
ABM Connected TV launch enhances targeting and visibility in digital marketing.
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