Senior Data Analytics Engineer
WorkWave LLC, Holmdel, NJ, United States
We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics Business Unit. This role is a critical bridge, connecting technical engineering with business strategy. Beyond just managing tickets or building pipelines, you will take full ownership of the data ecosystem, supporting our AI/ML initiatives and ensuring data accessibility, reliability, and scalability.
Responsibilities
Ecosystem Ownership & Strategy
– Own the Data Ecosystem: Build and maintain robust data pipelines and ETL processes, taking full responsibility for the health, cost, and observability of the stack.
Business‑First Data Modeling
– Design and manage data warehouses to support advanced analytics, focusing on creating "Gold Standard" data models for self‑service on PowerBI, Tableau, Sigma.
Documentation & Governance
– Maintain comprehensive documentation of all data engineering processes to enable stakeholder self‑service.
Engineering & Execution
– Infrastructure Development: Design and manage data lakes, warehouses, and databases to support analytics and AI workflows.
Performance Tuning
– Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues proactively.
Data Quality Management
– Implement frameworks that ensure data reliability across the organization.
Candidate Profile
Product‑Minded Engineer
– Wants to own the full lifecycle, not just tickets.
Analytics Architect
– Background in BI or analytics, becomes Ninja‑level technical expert.
Startup Builder
– Experienced in small teams, drives solutions, wears multiple hats.
Analytics Translation & Collaboration
Bridge the Gap
– Collaborate with cross‑functional teams to translate vague business goals into precise technical requirements.
Support AI/ML
– Create models that enhance Analytics and AI/ML projects.
Qualifications
5+ years of experience in data engineering, owning pipelines and optimizing infrastructure.
Technical Ninja Skills
– Proficiency in SQL (CTE optimization) and Python (complex scripting, ML/AI).
Pipeline Architecture
– Expertise using Fivetran, Snowflake, DBT.
Business Intuition
– Apply business intuition to present insights and recommendations.
Visualization Proficiency
– Build business‑driven solutions in PowerBI, Sigma, etc.
Master’s degree in engineering or analytics.
Preferred Qualifications
Cloud & Big Data
– Familiarity with AWS and big data technologies like Snowflake.
Leadership
– Proven experience leading data engineering projects.
Experience in small teams, agile environments.
$130,000 - $175,000 a year
Benefits
Health & dental coverage.
401(k) with company match.
Flexible time off policy or generous PTO.
Up to 4 weeks paid bonding leave.
Tuition reimbursement.
Employee Assistance Program with counseling and legal guidance.
24/7 telehealth access.
Quarterly awards based on peer nominations.
Regional discounts and perks.
Charitable events and community give‑back opportunities.
Equal Opportunity Employer
We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We encourage applicants to apply even if they do not meet every single requirement.
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Responsibilities
Ecosystem Ownership & Strategy
– Own the Data Ecosystem: Build and maintain robust data pipelines and ETL processes, taking full responsibility for the health, cost, and observability of the stack.
Business‑First Data Modeling
– Design and manage data warehouses to support advanced analytics, focusing on creating "Gold Standard" data models for self‑service on PowerBI, Tableau, Sigma.
Documentation & Governance
– Maintain comprehensive documentation of all data engineering processes to enable stakeholder self‑service.
Engineering & Execution
– Infrastructure Development: Design and manage data lakes, warehouses, and databases to support analytics and AI workflows.
Performance Tuning
– Act as a SQL/Python expert to optimize data pipelines and troubleshoot issues proactively.
Data Quality Management
– Implement frameworks that ensure data reliability across the organization.
Candidate Profile
Product‑Minded Engineer
– Wants to own the full lifecycle, not just tickets.
Analytics Architect
– Background in BI or analytics, becomes Ninja‑level technical expert.
Startup Builder
– Experienced in small teams, drives solutions, wears multiple hats.
Analytics Translation & Collaboration
Bridge the Gap
– Collaborate with cross‑functional teams to translate vague business goals into precise technical requirements.
Support AI/ML
– Create models that enhance Analytics and AI/ML projects.
Qualifications
5+ years of experience in data engineering, owning pipelines and optimizing infrastructure.
Technical Ninja Skills
– Proficiency in SQL (CTE optimization) and Python (complex scripting, ML/AI).
Pipeline Architecture
– Expertise using Fivetran, Snowflake, DBT.
Business Intuition
– Apply business intuition to present insights and recommendations.
Visualization Proficiency
– Build business‑driven solutions in PowerBI, Sigma, etc.
Master’s degree in engineering or analytics.
Preferred Qualifications
Cloud & Big Data
– Familiarity with AWS and big data technologies like Snowflake.
Leadership
– Proven experience leading data engineering projects.
Experience in small teams, agile environments.
$130,000 - $175,000 a year
Benefits
Health & dental coverage.
401(k) with company match.
Flexible time off policy or generous PTO.
Up to 4 weeks paid bonding leave.
Tuition reimbursement.
Employee Assistance Program with counseling and legal guidance.
24/7 telehealth access.
Quarterly awards based on peer nominations.
Regional discounts and perks.
Charitable events and community give‑back opportunities.
Equal Opportunity Employer
We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, age, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We encourage applicants to apply even if they do not meet every single requirement.
#J-18808-Ljbffr