Senior Data Engineer

Job not on LinkedIn

🕒 September 1

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 17%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Identiq

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💳 Fintech

🛍️ eCommerce

🔒 Cybersecurity

💰 $47M Series A on 2021-03

Fintech • eCommerce • Cybersecurity

Identiq is a company that specializes in payment optimization and customer identification solutions. They provide a private network designed to enhance payment acceptance rates, reduce fraud, and improve overall customer experiences without compromising sensitive data. Their technology enables risk-based decisions through the use of first-party data, ensuring that sensitive information remains secure and private throughout the validation process.

📋 Description

• Design, implement, and scale a modern BI data warehouse/data lake from the ground up • Build and maintain automated ETL/ELT pipelines aggregating data from the Azure-hosted product platform, CRM, and external APIs • Design the data warehouse at a grain supporting internal analytics and future customer-facing analytics • Own the written platform recommendation based on refresh latency, aggregation performance, schema evolution, tenant isolation, three-year total cost of ownership, and migration cost • Establish and enforce data governance, quality checks, and performance optimization practices • Own source-system semantics and technical implementation • Own freshness, completeness, and reconciliation against a published refresh SLA • Document processes so others can run the full cycle unaided • Advise leadership on data strategy and best practices • Translate technical data models into plain business language for stakeholders

🎯 Requirements

• Minimum of 5-7 years of professional experience in Data Engineering, BI Engineering, Analytics Engineering, or Data Architecture within a high-growth SaaS environment • Owned a greenfield data infrastructure initiative end to end • Deep expertise in modern cloud data warehousing solutions such as Snowflake, Databricks, Azure Synapse, or AWS Redshift • Expertise in data lake architectures • Experience building complex ETL/ELT pipelines using dbt, Apache Airflow, Azure Data Factory, or similar orchestration frameworks • Advanced proficiency in complex SQL and query tuning across Azure SQL, SQL Server, and PostgreSQL • Hands-on experience extracting and integrating data from enterprise GTM tools such as Salesforce, Gainsight, Marketo, or similar platforms • Proficiency in Python, Scala, or C# for data manipulation and automation • Experience integrating a non-relational source such as MongoDB into a relational warehouse is a plus rather than a requirement

🏖️ Benefits

• Whole-person growth with personal and professional development opportunities • Energetic and collaborative environment • Excellent work/life balance • Downtown Atlanta office location and Halcyon office in Alpharetta • Medical insurance • Dental insurance • Vision insurance • Life insurance • 401k match • Paid time off (PTO)