Remote, US or Remote, Ontario, Canada
Actively hiring, first seen by us 5 hours agoPay Transparency - All Full Time Employees $137,800—$172,250 USD Why You’ll Love Us:Read the full posting
Listed location: Remote, US or Remote, Ontario, CanadaRead the full posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Architect large-scale data solutions on Snowflake and/or Google BigQuery
Design an open lakehouse on AWS with Iceberg/Delta tables and Trino
Build ingestion and ETL pipelines using Python, Scala, Spark and SnowSQL
Own Dagster orchestration, lineage, schedules and backfills
Set dbt standards for layering, testing, documentation and CI
Architecting large-scale data intelligence solutions, performing architectural assessments
Design and evolve an open lakehouse on AWS: S3 with Apache Iceberg/Delta table formats
Developing ETL pipelines in and out of data the warehouse using but not limited to Python, Scala,SnowSQL, etc.
Own orchestration patterns in Dagster: asset-based pipelines, code-location design, cross-asset lineage
Set dbt standards for the enterprise data model: layering (staging/intermediate/marts), testing, documentation, and CI for model changes.
12+ years of experience working with data in the following ways: SQL development, Shell Scripting, Python, Snowflake, AWS, software engineering or database development
Experience developing end-to-end data pipelines to transform and process data for reporting layer
Experience with large-scale data sets using both structured and unstructured data
Strong communication skills across both business and technical communities
Strong data modeling: dimensional/Kimball, conformed dimensions, slowly changing dimensions (SCDs), and modeling for multiple brands or tenants
Experience with Kubernetes (EKS), infrastructure as code (Terraform/CDK), and containerized data services
- Experience with Kubernetes (EKS), infrastructure as code (Terraform/CDK), and containerized data services - Bachelor or Master’s degree in Computer Science, Information Technology or Equivalent - Performing in an agile, self-directed team environment
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 6 and day 55.
At Constant Contact, jobs usually come down by about day 48.
From 12,766 similar postings that came down, and 7 of Constant Contact’s. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Set dbt standards for the enterprise data model: layering (staging/intermediate/marts), testing, documentation, and CI for model changes. - Hands on experience with building productionized data ingestion and processing pipelines using Java, Spark, Scala, Python - In-depth understanding of Data Warehouse/ODS, ETL concept and modeling structure principles
- Need to have professional knowledge of cloud platforms like AWS, GCP, etc. - Developing ETL pipelines in and out of data the warehouse using but not limited to Python, Scala,SnowSQL, etc. - Own orchestration patterns in Dagster: asset-based pipelines, code-location design, cross-asset lineage, sensors and schedules, partitioning and backfills.
Who you are: - 12+ years of experience working with data in the following ways: SQL development, Shell Scripting, Python, Snowflake, AWS, software engineering or database development - Ideal candidate has led platform architecture for a multi-team data organization
- Architecting large-scale data intelligence solutions, performing architectural assessments, crafting architectural options and analysis around Snowflake Data Warehouse and/or Google BigQuery - Design and evolve an open lakehouse on AWS: S3 with Apache Iceberg/Delta table formats, a medallion architecture (bronze → silver → gold), and Trino as the federated query engine. - Finalize preferred solution alternative working with IT and Business stakeholders to build data ingestion pipeline using tools like AWS EMR, Snowpipe, AWS DMS, etc.etc
- Design and evolve an open lakehouse on AWS: S3 with Apache Iceberg/Delta table formats, a medallion architecture (bronze → silver → gold), and Trino as the federated query engine. - Finalize preferred solution alternative working with IT and Business stakeholders to build data ingestion pipeline using tools like AWS EMR, Snowpipe, AWS DMS, etc.etc - Need to have professional knowledge of cloud platforms like AWS, GCP, etc.
- Finalize preferred solution alternative working with IT and Business stakeholders to build data ingestion pipeline using tools like AWS EMR, Snowpipe, AWS DMS, etc.etc - Need to have professional knowledge of cloud platforms like AWS, GCP, etc. - Developing ETL pipelines in and out of data the warehouse using but not limited to Python, Scala,SnowSQL, etc.
What you'll do: - Architecting large-scale data intelligence solutions, performing architectural assessments, crafting architectural options and analysis around Snowflake Data Warehouse and/or Google BigQuery - Design and evolve an open lakehouse on AWS: S3 with Apache Iceberg/Delta table formats, a medallion architecture (bronze → silver → gold), and Trino as the federated query engine.
- Own orchestration patterns in Dagster: asset-based pipelines, code-location design, cross-asset lineage, sensors and schedules, partitioning and backfills. - Set dbt standards for the enterprise data model: layering (staging/intermediate/marts), testing, documentation, and CI for model changes. - Hands on experience with building productionized data ingestion and processing pipelines using Java, Spark, Scala, Python
- Experience with large-scale data sets using both structured and unstructured data - Production experience with at least two of: Trino/Presto, Iceberg/Delta/Hudi, Dagster/Airflow, dbt, Spark - Full grasp of continuous integration and delivery, including branching strategies, automated deployment and functional automation within CI and CD Pipelines
- Performing in an agile, self-directed team environment - Nice to have: experience with semantic layers (Cube, dbt Semantic Layer), data catalogs, ML/identity resolution, marketing or ad-tech data, and big data - Experience with billing data and systems is a big plus
- In-depth understanding of Data Warehouse/ODS, ETL concept and modeling structure principles - Tune Trino for performance and cost: query planning, catalog configuration (Glue/Hive/REST), resource groups, and scaling on Kubernetes. - Set technical direction and write architecture decision records for review by peers and leadership.
- Strong data modeling: dimensional/Kimball, conformed dimensions, slowly changing dimensions (SCDs), and modeling for multiple brands or tenants - Experience with Kubernetes (EKS), infrastructure as code (Terraform/CDK), and containerized data services - Bachelor or Master’s degree in Computer Science, Information Technology or Equivalent
- Developing ETL pipelines in and out of data the warehouse using but not limited to Python, Scala,SnowSQL, etc. - Own orchestration patterns in Dagster: asset-based pipelines, code-location design, cross-asset lineage, sensors and schedules, partitioning and backfills. - Set dbt standards for the enterprise data model: layering (staging/intermediate/marts), testing, documentation, and CI for model changes.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
At Constant Contact, we are seriously awesome people who take ownership and make an impact by operating with the mindset, integrity and courage of a small business owner. There’s something so profoundly rewarding about knowing that your work is empowering people everywhere to pursue their dreams. Here, we all play an integral part in helping business owners, entrepreneurs, non-profits and individuals to succeed by giving them all the help and tools they need to grow online. We’re energized by new challenges and new possibilities-and we’re just getting started!
The Enterprise Data Platform team is looking for a Principal Data Engineer to help revolutionize how we think about and deliver customer insights, playing an important role in the future success of the company.
The ideal candidate will be a platform evangelist, having a deep appreciation for the business as well as strong technical skills. You should be self-directed, a creative problem solver, and able to adjust to a fast-paced environment. This position plays the important role of bridging the gap between our business stakeholders and our technical data teams.
What you'll do:
Who you are:
#LI-HK1 #LI-Remote
The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education and work location. In addition, some roles may be eligible for additional on target commission pay or bonus. The compensation package includes health and welfare benefits including paid leave.
Why You’ll Love Us:
At Constant Contact, we’re all about work flexibility and are proud to serve our customers as a hybrid workforce. Our hybrid work model combines the convenience of remote work with access to our great office locations to collaborate in-person, participate in live trainings, and socialize with colleagues.
Application Deadline: 30 days. We may fill this job opening prior to the deadline if a candidate is selected by us.
Vision6 Pty Limited is an affiliate of Constant Contact, Inc. and a part of the Constant Contact group of brands.
Constant Contact is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, genetic information, veteran status or any other status protected under applicable law. If you require accessibility assistance applying for open positions, please contact talentacquisition@constantcontact.com.
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Notice to Recruiters and Staffing Agencies:
Constant Contact has an internal talent acquisition department and designated career site for individuals looking to join our team. Constant Contact will not accept unsolicited resumes from any external recruiters, staffing firms, search agencies or any fee-based referrals. Any unsolicited resumes sent to directly to Constant Contact, in any capacity will be considered property of Constant Contact. Constant Contact will not pay a fee for any placement resulting from the receipt of an unsolicited resume.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay Transparency - All Full Time Employees $137,800—$172,250 USD Why You’ll Love Us:
Remote, US or Remote, Ontario, Canada
- Experience with billing data and systems is a big plus #LI-HK1 #LI-Remote The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education and work location. In addition, some roles may be eligible for additional on target commission pay or bonus. The compensation package includes health and welfare benefits including paid leave.
- A generous paid time off policy and a competitive benefits package that supports the health and well-being of you and your family At Constant Contact, we’re all about work flexibility and are proud to serve our customers as a hybrid workforce. Our hybrid work model combines the convenience of remote work with access to our great office locations to collaborate in-person, participate in live trainings, and socialize with colleagues. Application Deadline: 30 days. We may fill this job opening prior to the deadline if a candidate is selected by us.
This passage needs a closer read in the full description.