Staff Data Engineer, Later
$200-228k
+ Stock Options
Social media marketing scheduling platform
Be an early applicant
Social media marketing scheduling platform
1001+ employees
Be an early applicant
$200-228k
+ Stock Options
1001+ employees
Company mission
To build the world’s first Social Revenue Platform.
Role
Who you are
- 10+ years of experience in data engineering, software engineering, or related fields
- Proven experience leading the technical strategy and execution of large-scale data platforms
- Expertise in cloud technologies (Google Cloud Platform, AWS, Azure) with a focus on scalable data solutions (BigQuery, Snowflake, Redshift, etc.)
- Strong proficiency in SQL, Python, and distributed data processing frameworks (Apache Spark, Flink, Beam, etc.)
- Extensive experience with streaming data architectures using Kafka, Flink, Pub/Sub, Kinesis, or similar technologies
- Expertise in data modeling, schema design, indexing, partitioning, and performance tuning for analytical workloads, including data governance (security, access control, compliance: GDPR, CCPA, SOC 2)
- Strong experience designing and optimizing scalable, fault-tolerant data pipelines using workflow orchestration tools like Airflow, Dagster, or Dataflow
- Ability to lead and influence engineering teams, drive cross-functional projects, and align stakeholders towards a common data vision
- Experience mentoring senior and mid-level data engineers to enhance team performance and skill development
- You’re proactive and results-driven, always taking initiative, aligning your actions with company goals, and delivering consistent outcomes
- Strategic and forward-thinking, you balance immediate needs with long-term opportunities to drive impactful, innovative results
- Your curiosity fuels success, keeping you sharp on industry trends, competition, and our cross-functional business dynamics
- Adaptable and resourceful, you handle shifting priorities with ease, manage your time effectively, and know when to ask for support
- You share insights to help the team stay ahead and make informed decisions
- You bring positivity and resilience to every challenge, tackling obstacles with grit and optimism that inspires those around you
- You lead with emotional intelligence, building trust, supporting others, encouraging growth, and fostering strong relationships through empathy and collaboration
Desirable
- Experience with machine learning infrastructure and integrating ML models into data pipelines
- Experience with Kappa/Lambda architectures for real-time data processing
- Background in data observability, lineage tracking, and anomaly detection tools (Monte Carlo, Databand, Great Expectations, etc.)
- Experience working with decentralized data architecture (e.g., Data Mesh principles)
What the job involves
- As a Staff Data Engineer at Later, you will be at the forefront of designing and scaling our data platform, integrating multiple data sources, and ensuring high availability, efficiency, and security.
- You will drive architectural decisions, optimize large-scale data processing, and develop real-time analytics infrastructure. Partnering with cross-functional teams, including data science, product, and engineering, you will play a strategic role in shaping the company's data roadmap, implementing best practices, and influencing long-term data strategies.
- Your leadership and deep technical expertise will be essential in building a data-driven culture and empowering stakeholders with scalable and reliable data solutions
- Lead the design and evolution of a scalable data architecture that meets analytical, machine learning, and operational needs
- Architect and optimize data pipelines for batch and real-time data processing, ensuring efficiency and reliability
- Implement best practices for distributed data processing, ensuring scalability, performance, and cost-effectiveness of data workflows
- Define and enforce data governance policies, implement automated validation checks, and establish monitoring frameworks to maintain data integrity
- Ensure data security and compliance with industry regulations by designing appropriate access controls, encryption mechanisms, and auditing processes
- Drive innovation in data engineering practices by researching and implementing new technologies, tools, and methodologies
- Work closely with data scientists, engineers, analysts, and business stakeholders to understand data requirements and deliver impactful solutions
- Develop reusable frameworks, libraries, and automation tools to improve efficiency, reliability, and maintainability of data infrastructure
- Guide and mentor data engineers, fostering a high-performing engineering culture through best practices, peer reviews, and knowledge sharing
- Establish and monitor SLAs for data pipelines, proactively identifying and mitigating risks to ensure high availability and reliability
Our take
Platforms like Instagram, Pinterest, and TikTok have become indispensable for businesses of all sizes, shaping their marketing strategies and driving success. Later specializes in assisting customers in navigating these channels. Offering a visually oriented suite of tools, the marketing platform enables marketing managers to schedule, analyze, and track sales from their content effectively.
Focusing on small businesses, Later is doubling down on its strategy, aiming to provide additional products tailored for marketers at these enterprises while expanding its geographic reach. This expansion of product capabilities not only caters to the evolving needs of small businesses but also helps Later mitigate platform risk from social media companies mimicking its services. Partnerships with platforms like TikTok and Instagram, featuring post scheduling, analytics, and conversation tools, showcase Later's commitment to innovation and staying ahead in the competitive landscape.
In a significant development, Later recently merged with Mavrck to become one single brand under the name Later. The unified entity brings together its flagship products to drive traffic and revenue from platforms like Instagram and TikTok. This move aims to enhance user experience, drive engagement, and allow brands and creatives to achieve their social marketing and revenue goals effectively.
Steph
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jan 2015
$1.2m
SEED
Dec 2014
$1.3m
SEED
Total funding: $3.8m
Company benefits
- Flexible Paid Time Off
- Hybrid Work Environment
- Competitive Healthcare Benefits
- Stock Options
- Learning & Development Opportunities
Company values
- Lead with Humility: We’re a community that puts what’s best for all ahead of what’s best for one - no big egos here
- Adapt and Grow: We embrace the challenges and the wins together, learning from each other along the way
- Make it Happen: Nothing is impossible. We have big ambitions and are determined to achieve them with creative solutions
- Succeed Together: We lift each other up and have each other’s backs. There’s a seat for everyone at this table
- Celebrate: We’re optimistic, celebrating each other, our progress, and the unique perspectives each member brings to the team
Company HQ
Chinatown, Vancouver, BC
Articles
Leadership
Roger Patterson
(Co-Founder)Serial entrepreneur and Software Engineer, Roger has also co-founded Launch Academy, a non-profit grass-roots startup incubator, gaming company, Flock & Swarm Mobility and automated business intelligence company, Datacomb Data Services.
Ian Mackinn
(Co-Founder & CTO)Ian has had a hand in building enterprise-scale software products over a successful career at Google, SAP and Pulse Energy. Ian co-founded Placeling and was the Technical Lead at the mapping startup, Mapdash.
Cindy Chen
(Co-Founder)A design expert, Cindy has worked as Product Designer at Thinkific and as a Design Lead at Momentus Software.
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