Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology, Data ServicesIndustries

Requirements

Candidates should possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with 4-7 years of experience as a Data Engineer, ideally in professional services or consulting. Proficiency in programming languages like Python, Java, or Scala, and expertise in data processing frameworks such as Spark, Hadoop, and SQL are essential. A deep understanding of database systems (relational and NoSQL), data modeling, data warehousing concepts, and cloud-based data platforms (AWS, Azure, Google Cloud) is required. Familiarity with ETL tools (Apache Airflow, Informatica, Talend), data governance, data quality, and security principles is also necessary, along with strong analytical, problem-solving, communication, and collaboration skills.

Responsibilities

The Data Engineer will build and maintain data architecture, develop scalable data pipelines for transforming and moving data from diverse sources, and ensure secure and efficient management of data systems. Responsibilities include designing, testing, and maintaining data architectures like databases, data warehouses, and data lakes, assembling complex datasets to meet requirements, and building high-performance algorithms and predictive models. The role involves integrating systems, managing data workflows, writing and deploying Python scripts, and collaborating with clients, business analysts, data scientists, and other technology teams to ensure data quality and accessibility for analysis and reporting.

Skills

Data Architecture
Data Pipelines
ETL
Python
SQL
Data Warehousing
Data Lakes
SDLC
Software Engineering
Algorithm Development
Data Management

Effectual

Cloud innovation and IT modernization services

About Effectual

Effectual specializes in modernizing IT infrastructure for businesses, focusing on cloud innovation. The company helps both commercial enterprises and public sector customers enhance their IT systems by using established methods and cloud solutions to accelerate digital transformation. Effectual's services include modern application development, cloud strategy, data analytics, and generative AI services, all aimed at improving data-driven decision-making. A significant part of their approach is ensuring data security and compliance, which helps businesses mitigate risks and protect their reputations. Additionally, Effectual assists clients in optimizing their cloud costs by reducing technical debt and the total cost of ownership. The goal of Effectual is to turn business challenges into successful outcomes through effective IT modernization.

Jersey City, New JerseyHeadquarters
2018Year Founded
GROWTH_EQUITY_VCCompany Stage
Data & Analytics, Enterprise Software, Cybersecurity, AI & Machine LearningIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
401(k) Retirement Plan
401(k) Company Match
Paid Vacation
Paid Holidays
Hybrid Work Options

Risks

Increased competition from new Cloud Native Computing Foundation members.
Potential over-reliance on AWS as a primary partner.
Investment pressure may prioritize growth over service quality.

Differentiation

Effectual is an AWS Premier Partner with seven AWS competencies.
The company specializes in IT modernization for both commercial and public sectors.
Effectual emphasizes data security, achieving SOC 2 Type 1 and Type 2 compliance.

Upsides

Effectual ranked No. 44 on CRN's 2024 Fast Growth 150 list.
Increased demand for cloud cost optimization boosts Effectual's service relevance.
Rising interest in generative AI aligns with Effectual's service offerings.

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