PLANOLY is the industry-leading social marketing platform trusted by over 5 million users to visually plan, schedule and measure performance across Instagram and Pinterest. PLANOLY is beautifully crafted to be simple, clean and easy to use. PLANOLY believes firmly in inclusivity and is thrilled to pave the way for brands, businesses and individuals of all backgrounds to carry out their digital marketing strategies seamlessly.

PLANOLY is looking for a thoughtful, well-rounded Data Engineer to join a rapidly growing startup and work on building data pipelines, tools and analytics services that help power business decisions. Our software platform that small businesses, influencers, agencies, and marketing firms use daily gives us an incredibly rich and diverse dataset that we need to collect, transform, and analyze in order to improve effectiveness of our products as well as impact business decisions. You will have the opportunity to take a leading role in our data initiatives and help solve some challenging problems in the social media marketing space. 

Tools We Use

• Google BigQuery
• Google Data Studio
• dbt
• SQL
• Amazon Web Services
• Google Cloud

What You Will Do

• Data Modeling / Architecting via designing data models and implementing appropriate abstractions for immediate requirements.
• Data infrastructure management including coding and maintaining cloud-based data pipelines and third-party data integrations.
• Monitor the quality of data and information, report on results, identify, and recommend system application changes required to improve the quality of data in all applications. Take on responsibility for the health and reliability of the data infrastructure.
• Design, implement and manage large data sets for our group of products to identify usable information.
• Work directly with data analysts to understand business questions and design data infrastructure to support those needs.
• Collaborate closely and autonomously with a small team of engineers, designers and cross-functional users to implement solutions.

Who You Are

• Bachelor’s degree in Computer Science, Business Administration, Finance, STEM field, or 3+ years of relevant work experience.
• Expert-level experience writing SQL queries and creating SQL based data models. Experience with dbt a plus.
• Experienced in managing data pipelines in cloud-based infrastructure such as Amazon Web Services. Experience with serverless technology such as Lambda preferred.
• Experience coding services and systems using OOP languages or commonly used languages like Python or NodeJS.
• Able to work within a software development lifecycle process and following agile methodologies.
• Knowledge of common software development tools such as git and 
• Ability to collaborate with other engineers, QA, and non technical people.
• Experience architecting and maintaining large-scale data warehousing solutions (Redshift, Big Query, etc) and ETL techniques.
• Proficiency in Microsoft Excel.
• Excellent attention to detail with strong written/verbal communication skills.
• Ability to QA and troubleshoot large data sets.
• Ability to work on green field projects with relatively minimal guidance.

Who We Are

• We are social media experts and first and foremost users of our tools to enhance our social media strategies. PLANOLY is built by influencers for influencers.
• We’re growing super fast and have been profitable since inception.
• We offer an open work environment where highly motivated engineers take full ownership of the products and help steer the firm.
• We are a huge advocate of work-life balance, which is seen in our open vacation and work-from-any-coffee-shops policies.
• We’ll provide you with lunch, snacks, drinks, and regular team outings.

** This role is not eligible for an employment visa.**

U.S. Equal Employment Opportunity/Affirmative Action Information

PLANOLY is proud to be an equal opportunity employer and will consider all qualified individuals seeking employment without regards to race, color, creed, religion, gender, gender identity, national origin, citizenship, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other protected classification.