Senior BI Data Analytics Engineer, mParticle
$140-170k
+ Equity
Customer data platform for multi-channel consumer brands
Job no longer available
Customer data platform for multi-channel consumer brands
201-500 employees
Job no longer available
$140-170k
+ Equity
201-500 employees
Company mission
To empower businesses to deliver personalized and engaging experiences to their customers across all screens and devices.
Role
Who you are
- Strong analytical, data processing, and problem-solving skills
- Exceptional attention to detail
- Strong verbal and written communication skills with the ability to effectively communicate with all levels of employees and provide support globally
- Experience implementing best practices for analytics, dashboarding, documentation, testing
- Experience building collaboration and rapport within an organization with both technical and non-technical members
- Experience working in a “remote first” environment
- Empathetic, understanding, and humble
- Strong work ethic
- Experience working well in both a team environment and independently
- 7+ years of proven success working in backend of large-scale software development
- Expertise in SQL-like languages and tools is a must
- Working knowledge of Redis, Dynamodb, Cassandra, Druid, Fivetran, Snowflake, Redshift, Looker, Spark, Luigi/Airflow, etc.. (We use Snowflake)
- BS/MS in Computer Science or related field, or equivalent professional experience
- Ability to learn quickly and display solid analytical/engineering thinking
- Experience in building scalable data pipelines for analytics processes and/or training machine learning models
- Able to design and develop quality cloud-based systems and operate them in an automated fashion
- Demonstrable experience in taking projects from spec to release
- A passion for understanding business questions and making data-driven insights. Excellent analytical skills
- Familiarity with the monitoring, observability, log aggregation
- Ability to present data concisely through written and oral communication. Expert at influencing business stakeholders
What the job involves
- MParticle is looking for a talented and technically well-rounded Senior BI Data Analytics Engineer who loves to tackle complex problems, work closely with stakeholders, and is passionate about building scalable and reliable data pipelines and applications, e.g., data streaming, data transformations/integrations, machine learning, etc
- You will be responsible for empowering data-driven stakeholders by building the architecture and infrastructure by which we ingest, transform, test, document, and connect data across mParticle
- Critical to the success of this role will be consistent communication with end stakeholders to build a data stack that is flexible enough to meet the needs of our business as we grow
- Reporting to the Senior Director of Business Systems and BI Data, you will collaborate closely with our Data Engineer in building pipelines and providing support to our stakeholders
- Build, maintain, and document automated ETL & Reverse ETL pipelines
- Architect, implement, and support scalable/reliable data pipelines that process up to terabytes of data per day
- Continuously monitor and optimize the pipelines and data schemas
- Create best practices for version control, documentation, testing, etc
- Proactively improve efficiencies to our data pipelines
- Build automated alerting to improve efficiency of our team’s operations, including but not limited to time series forecasting, anomaly detection, text classifications, etc
- Write & iterate on Tech Specs to properly plan and execute complex projects
- Partner with business stakeholders (Sales, Customer Success, Professional Services etc) to understand their data needs
- Ensure that the data we need to understand and serve our stakeholders is available, accurate, and accessible
- Build complex Looks/Dashboards/Explores in BI Data tools that are not able to be done in a self serve way
Our take
As more customer data is created and consumed across more systems, touchpoints, and tools than ever before, it has become a universal need to connect these systems and data sources to drive personalization while respecting consumer privacy needs.
mParticle is a retail customer data platform that improves the way companies collect information on their customers. mParticle utilizes sophisticated algorithms and machine learning technology in order to help drive better customer interactions. The firm also provides a range of data analytics services, A/B testing, marketing, and data warehousing tools.
Big data analytics in retail is expected to reach a total market value in excess of $25.5 billion by 2028. To help capitalize on this, the company has sought several acquisitions, the most recent being AI startup Vidora and analytics provider Indicative.
It is also working on its product to reach larger clients. It recently launched a new toolkit that allows enterprises to gather data from across the customer lifecycle, as well as introducing Custom Access Roles to its platform. A direct sync with Snowflake also bolsters the platform's utility, with other data platforms including Google BigQuery, Amazon RedShift, and Microsoft Azure to be supported in the future.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Oct 2021
$150m
SERIES E
Mar 2020
$45m
SERIES D
Total funding: $303m
Company benefits
- Pawternity policy
- 401k
- Unlimited time off
- Bring your dog!
- Commuter program
- Flexible hours
- Healthy snacks
- Parental leave
- Remote first
Company HQ
Gramercy Park, New York, NY
Leadership
Michael Katz
(CEO)Previously Founder & President of interclick, before becoming CEO, and was on the Board of Directors for BrightLine and Adaptly. Current Mentor at Techstars alongside working at mParticle.
Andrew Katz
(CTO)Spent 4 years as a Software Engineer and then worked as CEO of mStyle for over 5 years. Co-founded interclick and worked at Yahoo! as VP of Engineering.
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