Data Engineer
United States
Applications have closed
Attentive
Attentive is the most comprehensive personalized text messaging solution. 99% open rates, 30%+ click-through rates, and 25x+ ROI.We work with 4,000+ of the most innovative brands like Coach, Urban Outfitters, CB2, Pura Vida, Lulus, and Jack in the Box. Attentive was founded in 2016 by the co-founders of TapCommerce, a mobile marketing platform that was acquired by Twitter in 2014.
Privy, a subsidiary of Attentive, is the email marketing platform for Shopify & Wix stores that need the tools & coaching to grow from $0 to $1 million in sales. We're the #1 reviewed sales app in the Shopify app store, and to date 500,000+ small e-commerce brands around the world use Privy-- and we've helped them generate $6 billion in sales so far. Our mission is to provide the tools, education, and support small ecommerce brands need to grow their online stores and build thriving businesses.
We were named an Inc. 5000 fastest growing company (2 consecutive years!), and a Built In Boston Best Place to Work. And guess what? With our recent acquisition by text marketing leader, Attentive, we're not slowing down any time soon! We've got the feeling of a small team with the resources of a large company, with a bright future ahead of us.
Why Privy EngineeringWe're tackling interesting engineering and scaling problems managing high data volumes and the unique challenges of working alongside tens of thousands of unique store configurations.
Our teams are highly autonomous: we organize into small (3-5 engineer) teams working with designers and product managers to make rapid and continuous progress every day.
Our test suite is highly parallelized and completes in just 6 minutes, and every merge to the main branch is automatically built, tested, and deployed to production.
We love to stay up to date and use modern versions of modern frameworks: Rails 6.1+, and React 16.13+.
The RoleAs a Data Engineer, you will support our core business operations through the development, integration, and maintenance of internal tools and services. Key services include the Privy Platform, Snowflake, Salesforce, and Heap, in addition to tools like Google Analytics and Google Tag Manager.
Through this role, you will have the opportunity to engage multiple stakeholders in a cross-functional setting as we seek to align our data architecture with our core business and product strategy. You will be part of a broader Growth/Data team within Engineering and Product Development that primarily focuses on self-serve product development for our key customer segment of small and medium-sized businesses.
Responsibilities:
- You will lead the development and integration of internal tools and services for business operations
- You will analyze data to identify opportunities and gaps in our data availability and reporting
- You will maintain, consolidate, and retire internal systems to optimize for business and strategy Project Management
- You will manage, prioritize, and balance stakeholder needs and requirements
- You will promote org-wide adoption of best practices in processes, technologies, and data
- You will document internal data models, definitions, and processes
Minimum Required Qualifications:
- Bachelor in Computer Science, Mathematics, or a related field or equivalent experience, with 3-4 years in a relevant role and industry
- You have experience with designing and maintaining BI systems in a SAAS environment
- You have experience with ETL development
- You have experience following best practices for documentation and code management
- You have a high proficiency in SQL Nice to have's:
- You have proficiency or experience with Snowflake and Looker
- You have proficiency or experience with FiveTran
- You have proficiency or experience with Ruby
Our Culture:
- Continuously improve yourself, your teammates and the development process fostering a sustainable and high-performing team dynamic. Celebrate each team member's unique strengths.
- Inform tradeoff decisions with our Product partners, influencing plans and strive to grow customer empathy.
- We practice rapid iteration - if it’s been reviewed and makes production better, deploy to production.
- Before coding, we sweat the details and edge cases, debate the design, and disagree openly.
- We use the best tools money can buy, and focus on solving real problems for customers, not reinventing the wheel.
- We have a growth mindset and consider growth a part of every engineer's job, with dedicated investment time and resources to match.
- We empathize with our merchants, who come from every industry and background imaginable, and we're building a product to support their diverse needs.
- For an inside look at the engineering team culture, visit Privy's Engineering Blog.
Benefits & Perks:
- Unlimited vacation policy with a two week minimum
- Robust health benefits packages including access to a 401k and various medical, dental and vision plans, and $100/month fitness reimbursement
- Flexible work hours and fully remote options, including reimbursement for WeWork All Access
- Daily lunch delivery credit and other goodies sent to home
- Regular company-wide social events (even virtually!)
- Generous annual education stipend toward job-related external learning opportunities
- Annual charitable donation matching program
- 12-weeks 100% paid leave for new parents #LI-Remote #LI-SP1
Attentive is an Equal Opportunity Employer. We’re committed to diversity and maintaining a work environment that is free from harassment and discrimination. We’re committed to them because our core values demand it - values like Integrity First, Listening & Cultivating Discussion, and Default to Action. We believe in embracing “self” and that our true strength lies in the diversity of our employees. For this reason, applicants from all backgrounds are encouraged to apply, and will not be discriminated against on the basis of any protected status under federal, state, or local law.
Tags: Computer Science E-commerce Engineering ETL FiveTran Looker Mathematics React Ruby Snowflake SQL
Perks/benefits: 401(k) matching Career development Fitness / gym Flex hours Flex vacation Health care Home office stipend Lunch / meals Medical leave Startup environment Team events Unlimited paid time off
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs