{"id":4035850,"url":"https://alion.io/job/constant-contact-principal-data-engineer","title":"Principal Data Engineer","company":{"id":1807352,"name":"Constant Contact","domain":"subjectline.com","url":"https://alion.io/company/subjectline","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Canada"],"countries":["CA"],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":{"min":137800,"max":172250,"currency":"CAD","period":"year","gross":null,"usd_annual":121359},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Hudi","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-11-10T16:48:26Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T20:13:33Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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!\nThe 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.\nThe 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.\nWhat you'll do:\nArchitecting large-scale data intelligence solutions, performing architectural assessments, crafting architectural options and analysis around Snowflake Data Warehouse and/or Google BigQuery\nDesign 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.\nFinalize preferred solution alternative working with IT and Business stakeholders to build data ingestion pipeline using tools like AWS EMR, Snowpipe, AWS DMS, etc.etc\nNeed to have professional knowledge of cloud platforms like AWS, GCP, etc.\nDeveloping ETL pipelines in and out of data the warehouse using but not limited to Python, Scala,SnowSQL, etc.\nOwn orchestration patterns in Dagster: asset-based pipelines, code-location design, cross-asset lineage, sensors and schedules, partitioning and backfills.\nSet dbt standards for the enterprise data model: layering (staging/intermediate/marts), testing, documentation, and CI for model changes.\nHands on experience with building productionized data ingestion and processing pipelines using Java, Spark, Scala, Python\nIn-depth understanding of Data Warehouse/ODS, ETL concept and modeling structure principles\nTune Trino for performance and cost: query planning, catalog configuration (Glue/Hive/REST), resource groups, and scaling on Kubernetes.\nSet technical direction and write architecture decision records for review by peers and leadership.\nMentor engineers across distributed teams in the US and India, and raise the bar through code and design reviews.\nWho you are:\n12+ years of experience working with data in the following ways: SQL development, Shell Scripting, Python, Snowflake, AWS, software engineering or database development\nIdeal candidate has led platform architecture for a multi-team data organization\nExperience developing end-to-end data pipelines to transform and process data for reporting layer\nExperience with large-scale data sets using both structured and unstructured data\n Production experience with at least two of: Trino/Presto, Iceberg/Delta/Hudi, Dagster/Airflow, dbt, Spark\nFull grasp of continuous integration and delivery, including branching strategies, automated deployment and functional automation within CI and CD Pipelines\nStrong communication skills across both business and technical communities\nStrong data modeling: dimensional/Kimball, conformed dimensions, slowly changing dimensions (SCDs), and modeling for multiple brands or tenants\nExperience with Kubernetes (EKS), infrastructure as code (Terraform/CDK), and containerized data services\nBachelor or Master’s degree in Computer Science, Information Technology or Equivalent\nPerforming in an agile, self-directed team environment\nNice to have: experience with semantic layers (Cube, dbt Semantic Layer), data catalogs, ML/identity resolution, marketing or ad-tech data, and big data\nExperience with billing data and systems is a big plus\n#LI-HK1 #LI-Remote\nThe 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.\nPay Transparency - All Full Time Employees\n$137,800—$172,250 USD\nWhy You’ll Love Us:\nWe celebrate one another’s differences. We are proud of our culture of diversity and inclusion, and we're always working hard to strengthen and improve this culture. We have programs in place that bring us together on important issues and provide educational opportunities for all employees. \nJoin the experts. If you're passionate about supporting businesses and organizations, you won’t find a better spot to share your talent. We’re dedicated to improving the quality of our product from a customer standpoint and have a true desire to enable the success of businesses, non-profit organizations, and community groups.\nYou’ll have opportunities to grow your career. We encourage and support our team members to learn different aspects of the business, take on stretch assignments, seek coaching opportunities and professional development opportunities.\nA generous paid time off policy and a competitive benefits package that supports the health and well-being of you and your family\nAt 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.\nApplication Deadline: 30 days. We may fill this job opening prior to the deadline if a candidate is selected by us.\nVision6 Pty Limited is an affiliate of Constant Contact, Inc. and a part of the Constant Contact group of brands.\nConstant 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 .\nThe 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)\nIt 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.\nNotice to Recruiters and Staffing Agencies:\nConstant 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. 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