Anteriad

DataEngineer

$115–155k ~AI est. United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer at Anteriad. Skills: Data Engineering, Data Integration, Azure, Microsoft Fabric. Translate business requirements into data engineering solutions. Design data integration solutions”

Industry & Context.

Problems you'll solve

Problem solvers; Analytical skills; Problem-solving skills; Critical thinking skills

Eligibility Requirements

1-4 on-site meetings per year, Willing to attend meetings

What They're Looking For.

Must Have

3+ years of experience in data engineering, 3+ years of experience writing SQL, Hands-on experience designing ETL/ELT pipelines, Hands-on experience developing data transformation logic, Microsoft SQL Server skills, Relational database design principles skills, Experience with Azure data platform services, Knowledge of Microsoft Fabric components, Experience building data ingestion processes, Hands-on experience implementing data validation, Experience supporting production data workloads, Bachelor’s degree in Computer Science or equivalent experience

Nice to Have

Prior experience modernizing legacy ETL processes, Power BI experience a plus, Semantic models experience a plus, Data visualization tools experience a plus, Analytics tools experience a plus, Customer Data Platforms experience a plus, CDPs experience a plus, Database marketing experience a plus, Marketing analytics experience a plus, Client data onboarding environments experience a plus, Working knowledge with AWS a plus, Working knowledge with Google Cloud Platform a plus

What You'll Do.

Translate business requirements into data engineering solutions

Design data integration solutions

Develop data integration solutions

Maintain data integration solutions

Build ETL/ELT pipelines

Manage ETL/ELT pipelines

Optimize ETL/ELT pipelines

Develop data transformation logic

Maintain data transformation logic

Design data ingestion processes

Implement data ingestion processes

Design data transformation processes

Implement data transformation processes

Design data validation processes

Implement data validation processes

Design data delivery processes

Implement data delivery processes

Develop data integration processes

Optimize data integration processes

Build SQL-based data models

Maintain SQL-based data models

Build stored procedures

Maintain stored procedures

Build automation scripts

Maintain automation scripts

Build database objects

Maintain database objects

Support modernization of data integration processes

Support migration of data integration processes

Design reusable pipeline patterns

Implement reusable pipeline patterns

Design data quality checks

Implement data quality checks

Design validation controls

Implement validation controls

Design logging processes

Implement logging processes

Design alerting processes

Implement alerting processes

Design performance monitoring processes

Implement performance monitoring processes

Support client onboarding efforts

Design data ingestion workflows

Implement data ingestion workflows

Design data transformation workflows

Implement data transformation workflows

Design data reconciliation workflows

Implement data reconciliation workflows

Design data validation workflows

Implement data validation workflows

Troubleshoot data pipeline issues

Resolve data pipeline issues

Troubleshoot data quality issues

Resolve data quality issues

Troubleshoot performance issues

Resolve performance issues

Troubleshoot integration issues

Resolve integration issues

Design semantic models

Develop semantic models

Maintain semantic models

Design data structures

Develop data structures

Maintain data structures

Contribute to data engineering standards

Contribute to documentation

Contribute to best practices

Contribute to reusable frameworks

Research emerging technologies

Evaluate emerging technologies

Recommend emerging technologies

How You'll Work.

Team & Collaboration

Partner with stakeholders; Collaborate with teams

Communication Scope

Explain technical concepts

Full Job Description

Come Join Our Team At Anteriad and innovate the way B2B marketers make data-driven business decisions. About Anteriad We are not just another B2B solution provider. We're problem solvers. We believe that data is the key to unlocking effective solutions that span a range of marketing challenges - from customer acquisition to demand generation to account-based marketing. Data is at the core of everything we do. Our team works tirelessly to create powerful solutions that drive real results for our clients. Whether it's through innovative technology or deep analysis, we're committed to finding the best path to growth for every one of our customers. Why Join Our Data Integration Team? This is an excellent opportunity for an intelligent, energetic, and self-motivated individual to play a vital role within a growing part of Anteriad. As our Data Engineer, you will have an important role in receiving, organizing, and loading data into Anteriad’s Data Warehouse to be used by our clients and throughout the Anteriad organization. As an integral part of the Data Integration team, you will play a key role in building, managing, and optimizing data pipelines that support our marketing and analytics efforts. You will be a professional with deep expertise in SQL and hands-on experience with SSIS and cloud-based data solutions, especially within the Azure ecosystem. This role may require 1-4 on-site meetings at our NYC office per year. You must be willing to attend if scheduled. This role is not eligible for sponsorship, including current OPT and/or partner VISA status. Anteriad means “always moving forward” and we apply that to our company culture by tirelessly promoting an environment that allows our employees to thrive: 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 - career guidance fr

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