Data Engineer

Effectual

Data Engineer responsible for building and maintaining the data architecture that supports Effectual’s business needs. Develop scalable data pipelines and ensure data management for analysis and reporting.

Posted 7/30/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $132,000 - $166,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data architectures, including databases, data warehouses, and data lakes, while utilizing programming languages like Python and frameworks such as Spark and Hadoop. Proficient in designing ETL processes and managing cloud-based data platforms, ensuring data quality and security.

Highest-signal resume keywords

Python ProgrammingETL Process DesignData WarehousingCloud-Based Data PlatformsData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData Pipeline DevelopmentData ModelingDatabase SystemsSQLSparkHadoopApache AirflowInformaticaTalend

Soft Skills

Analytical SkillsProblem-SolvingCommunicationCollaborationSelf-Motivation

Tools & Technologies

AWSAzureGoogle CloudS3RedshiftBigQueryData Migration ServicesCloud Formation

Industry Keywords

Data EngineeringProfessional ServicesConsultingComputer VisionIntelligent Document ProcessingAgile MethodologySDLC

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudETLHadoopInformaticaJavaNoSQLPythonScalaSDLCSparkSQL

About the role

Key responsibilities & impact

As a Data Engineer, you'll play a key role in building and maintaining the data architecture that supports our business needs.
Your work includes developing scalable data pipelines to transform and move data from diverse sources, enabling analysts and data scientists to work with clean, accessible datasets.
You'll focus on the secure and efficient management of data systems, ensuring information is stored effectively and retrieved quickly when needed.
This includes designing, testing, and maintaining data architectures such as databases, data warehouses, data lakes, and large-scale processing systems.
In this role, you'll assemble large, complex datasets to meet both functional and non-functional requirements.
Expect to build high-performance algorithms, predictive models, and proofs of concept while using modern programming languages and tools to integrate systems and manage complex data workflows.
A Data Engineer also interfaces with other technology teams to extract, transform, and load [ETL] data from a wide variety of data sources.
Effectual Data Engineers continually improve ongoing reporting and processes, as well as automate or simplify self-service for our clients.
Effectual Data Engineers develop, code, and deploy scripts written in the Python programming language, as Python is the language of Data.

Requirements

What you’ll need

Bachelor’s or master’s degree in Computer Science, Engineering or a related field
4-7 years experience working as a Data Engineer, preferably in a professional services or consulting environment
Strong proficiency in programming languages such as Python, Java, or Scala, with expertise in data processing frameworks and libraries (e.g., Spark, Hadoop, SQL, etc.)
In-depth knowledge of database systems (relational and NoSQL), data modeling, and data warehousing concepts
Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.)
Computer Vision/Intelligent Document Processing.
Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend
Familiarity with data governance practices, data quality frameworks, and data security principles
Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions
Excellent communication and collaborations skills, with the ability to effectively work with clients and cross-functional teams
Self-motivated and proactive, with a passion for learning and staying updated with the latest trends and advancements in the field of data engineering
Able to work with ambiguity and turn client wants and needs into working stories, epics which can be executed upon during a sprint. This means Data Engineers understand and know the ‘agile’ progress software delivery
A firm understanding of the SDLC process
An understanding of object-oriented programming
Needs minimal direction
AWS background, AWS Cloud Formation & Data Migration Services (DMS)
Solution Engineer mindset.

Benefits

Comp & perks

Medical, dental, and vision health insurances,
Short term disability, long term disability and life insurances,
401k with Company match
Paid time off (PTO) (120 hours PTO that accrue over one year)
Paid time off for major holidays (14 days per year)
These and any other employee benefit offerings are subject to management’s discretion and may change at any time.