Data Engineer

Job not on LinkedIn

🔥 17 minutes ago

🇺🇸 United States – Remote

💵 $132k - $166k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Effectual

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🤖 Artificial Intelligence

💰 Private Equity Round on 2019-11

Consulting • Cloud • Artificial Intelligence

Effectual is an AWS Premier Tier Services Partner specializing in enterprise digital transformation, focusing on cloud migration and modernization. They offer a range of services including cloud strategy and design, application development, and data analytics, leveraging cutting-edge technology like Generative AI to drive innovation and efficiency. Effectual works across various sectors such as financial services, aerospace, and the public sector, aiming to optimize cloud costs and enhance data security for their clients.

📋 Description

• 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

• 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

• 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.