About us

Share Local Media, or SLM, is a rapidly growing startup reimagining the world of offline marketing for tech and e-commerce companies. We started as e-commerce marketers ourselves, and launched SLM with a goal of turning direct mail into a high performing, scalable channel for a digitally native client set. To do so, we’ve taken an inputs based-approach to the space, and re-engineered the channel from the ground up to make it easier to test, faster to execute, more measurable, and ultimately, more effective for e-commerce and tech clients of all types.

So what does SLM actually do? We’re a full-service direct mail agency, media program operator, and technology platform, serving some of your favorite e-commerce and tech brands (think Casper, Lyft, Grubhub, etc.). We live and breathe direct response marketing, and strive to delight clients with high performing campaigns built around fast, data-driven client service, and premium, unique branding.

What are we like at SLM? We’re passionate, humble, and kind. We value data-driven thinking, speed, persistence, creativity, and teamwork. We love helping clients grow and scale through a tactile medium that has long term brand value. And finally, we get excited about transforming an old-school channel into something new through data, product, technology, and a service-driven mentality.

Share our excitement? Great - we’d love to hear from you!

The role

Data underpins our entire business. It enables us to develop data-driven marketing strategies for our clients, provide robust attribution reporting on our campaigns and deliver compelling features within our SaaS platform.

We are looking for a self-driven Senior Data Engineer to help us build and maintain our internal data platform and infrastructure. You may be working with our internal data and engineering teams, gathering requirements and designing/implementing solutions.

Your day to day may involve setting up data pipelines for automatic ingestion, building out our data warehouse and associated tooling, or thinking about our overall data architecture and how we can continue to iterate while also considering key factors such as scalability, security and data privacy.

A successful candidate will have a broad knowledge of the data landscape, including tools, technologies and trends which can help inform what we should be building and thinking about.

Core responsibilities

• Guiding technical focus and architecture as it relates to data within the organization.
• Identifying tools which may be a good fit for our business and integrating them into our data architecture.
• Building infrastructure for ETL of data from various sources, optimizing for scale and reliability.
• Building and implementing analytical tools to utilize the data pipeline, providing actionable insights into key business performance metrics.
• Management and structuring of data within our data warehouse, to be consumed by downstream applications.
• Monitoring the overall performance and stability of our data infrastructure, implementing improvements and optimizations as necessary.
• Scaling and iterating on data processes as we grow.
• Working with stakeholders across the organization and assisting them with data-related technical issues and developing solutions.

Requirements

• Degree in Computer Science, Engineering, or related technical field.
• Minimum 5 years of experience building cloud-based data infrastructure. (AWS Preferred.)
• Strong experience with data warehouse design and management.
• Strong experience building cloud-based data pipelines, data integration and data processing.
• Strong Python and SQL skills, and proven experience working with major database platforms. (Postgres & Redshift preferred.)
• Strong understanding of data science concepts and hands-on data analysis skills.
• Hands-on experience with ETL tools such as AWS Glue, Airflow and DBT.
• Strong analytical skills & an eye for detail.
• Comfortable with tackling loosely defined problems with autonomy in day-to-day decisions.

Nice to Have

• Experience with maintaining data infrastructure using Terraform or similar infrastructure-as-code tools.
• Experience processing and handling customer PII and applicable privacy and security standards.
• Experience implementing and managing BI tools.
• Knowledge of the marketing ecosystem and understanding of common metrics.
• Data engineering certifications (e.g. IBM Certified Data Engineer)
• Experience working in a fast-paced startup environment.

What we offer

• Full-time role based in our NYC office / Remote option for this role
• Ownership and growth opportunities
• Flexible vacation policy
• Robust benefits package
• A fun culture including: team events, happy hours, and trips
• The opportunity to work with a group of passionate, humble, and kind team members

If you’re looking to be part of something new that is transforming an industry, this is the role for you. You will be empowered to think like an entrepreneur by coming up with new ideas, testing them, implementing them, and then scaling them quickly.