Data Engineer

Anteriad

Data Engineer building Azure and Microsoft Fabric data pipelines for Anteriad’s B2B marketing analytics solutions. Modernizing ETL, supporting client data onboarding, and developing reliable datasets for reporting and business intelligence.

Posted 8/7/2026full-time🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable data engineering solutions using Azure services, including Azure Data Factory and Azure Databricks. Proficient in SQL optimization, ETL/ELT pipeline management, and data transformation processes across various data sources.

Highest-signal resume keywords

Data EngineeringETL/ELT Pipeline ManagementAzure Data FactoryMicrosoft SQL ServerAzure Databricks

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLT-SQLData IntegrationData TransformationData ValidationData ModelingPySparkSpark SQLAutomation ScriptsDatabase Objects

Soft Skills

Analytical SkillsProblem-SolvingCritical ThinkingCommunicationTeam Collaboration

Tools & Technologies

Microsoft FabricAzure Storage AccountsAzure Data Lake StorageAzure Key VaultPower BI

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in Information TechnologyBachelor’s Degree in Data Analytics

Industry Keywords

Business IntelligenceData WorkloadsData Quality ChecksData IngestionCloud Data Services

Tech Stack

Tools & technologies

AzureCloudETLMS SQL ServerPySparkPythonSparkSQLSSISVault

About the role

Key responsibilities & impact

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, maintainable data engineering solutions
Design, develop, and maintain data integration solutions using Microsoft SQL Server, Azure Data Factory, Azure Databricks, Microsoft Fabric, and related Azure services
Build, manage, and optimize ETL/ELT pipelines, including orchestration, parameterization, scheduling, monitoring, and error handling
Develop and maintain transformation logic using Azure Databricks and Microsoft Fabric notebooks
Design and implement data ingestion, transformation, validation, and delivery processes across structured, semi-structured, and external data sources
Build and maintain SQL-based data models, stored procedures, views, automation scripts, and database objects
Modernize and migrate legacy SSIS and on-premises data integration processes to Azure and Microsoft Fabric
Implement reusable pipeline patterns, data quality checks, validation controls, logging, alerting, and performance monitoring
Support new client onboarding through data ingestion, transformation, reconciliation, and validation workflows
Troubleshoot data pipeline, data quality, performance, and integration issues
Maintain datasets, semantic models, and data structures supporting Power BI, Excel, Microsoft Fabric, and other business intelligence platforms
Contribute to data engineering standards, documentation, best practices, and reusable frameworks
Research and recommend emerging technologies and platform capabilities

Requirements

What you’ll need

3+ years of experience in data engineering, data integration, business intelligence engineering, or a related technical role
3+ years of experience writing, optimizing, and troubleshooting SQL, including T-SQL, stored procedures, views, indexing strategies, and query performance tuning
Hands-on experience designing, building, and supporting ETL/ELT pipelines using Azure Data Factory and/or Microsoft Fabric Pipelines
Hands-on experience with Azure Databricks notebooks, Microsoft Fabric notebooks, PySpark, Spark SQL, Python, or similar technologies
Strong Microsoft SQL Server and relational database design principles skills
Experience with Azure Data Factory, Azure Databricks, Azure Storage Accounts, Azure Data Lake Storage, Azure Key Vault, and related cloud data services
In-depth experience with Microsoft Fabric Pipelines, Notebooks, Lakehouses, Warehouses, Dataflows, and semantic models
Experience building data ingestion and transformation processes from APIs, flat files, databases, web services, cloud storage, and other external data sources
Hands-on experience implementing data validation, reconciliation, monitoring, logging, and alerting for production data pipelines
Experience supporting production data workloads, troubleshooting failures, optimizing performance, and improving pipeline reliability
Bachelor’s degree in Computer Science, Information Technology, Data Analytics, a related field, or equivalent professional experience
Strong analytical, problem-solving, and critical-thinking skills
Excellent verbal and written communication skills
Ability to work independently on moderately complex data engineering tasks while collaborating effectively in a team environment
Role is not eligible for sponsorship, including current OPT and/or partner VISA status

Benefits

Comp & perks

Work from home
Flexible PTO
Training & development with unlimited access to Percipio LMS
Mix of collaborative & independent work
Community outreach via Anteriad Cares, encouraging staff to take time to volunteer
Professional mentoring program with career guidance from leadership
Employee Resource Groups
Comprehensive medical, dental and vision coverage
Company-paid short-term disability, long-term disability, and life insurance
Optional supplemental life, accident, and critical illness insurance plans
401K with company match
Generous holiday schedule
Fully paid primary caregiver leave (12 weeks)
Parental bonding leave (2 weeks)